Quot Functors for Deligne-Mumford Stacks

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animal-farm动物农场-乔治奥威尔

animal-farm动物农场-乔治奥威尔
Mr.Frederick-the owner of the farm Pinchfield, symbolize Adolf Hitler
Old Major-Pig, the founder of the animal rightist, symbolize Marx and Lenin
Napoleon- Pig, a leader and commander of the revolution, symbolize Joseph Stalin
Benjamin - donkey, doubt but protect himself only, symbolize Intellectuals with independent thinking and Orwell himself
The Dogs - the tool for ruling and violence, symbolize the Secret Police
Main Characters
Snowball- Pig, a leader and enemy of the revolution , symbolize Trotsky
Boxer-horse, the loyal follower of the animal rightist, symbolize the masses
The Plot of Animal Farm
However, the leaders ——pigs took advantage of new system to benefit themselves. They slept on the bed and drunk milk. The two leaders-Snowball and Napoleon wanted to be the only leader. Snowball was driven out because Napoleon let some fierce dog to chase him. And then Napoleon declared Snowball was spy and the enemy of Animal Farm. In the past, Snowball put forward to build windmill and Napoleon push others to build it since Snowball’s departure. Though it was wrecked twice but it finally was accomplished through years of hard work.

Schools Wise up to Ways of High中英翻译

Schools Wise up to Ways of High中英翻译

Unit 6 Text1 Schools Wise up to Ways of High-techCheatsGeorge Mason University instructor Anne Marchant calls them “patchwork plagiarists”—the students who copy and paste together passages from articles they’ve found on the Internet, then turn in t he work as their own. She catches at least one such student every semester in their computer-science class, she said. She even discovered such plagiarism in her computer ethics course. “Certainly, cheating is persavise,” Marchant said. “It’s usually deadly obvious. The introduction will be written in broken English; then it will have this flawlessly written, almost doctoral-quality body, then a conclusion that goes back to broken English.”乔治梅森大学讲师安妮·马钱特所谓的“拼凑剽窃者”----是指学生从因特网上找到文章,经过复制、粘贴,然后把它当作自己的作业上交,她每个学期在她的计算机课上至少抓住一名这样的学生,她说,甚至在计算机道德教育课上也发现这样的“剽窃者”。

美国简史选择题及答案(1-16章)

美国简史选择题及答案(1-16章)

1.From 1622 unit his death, _____, one of the greatest of colonial American, was reelected thirty times as governor.A.Anne BradstreetB. William BradfordC.Edward TaylorD. Thomas Paine2.____carries the voice not of an individual but of a whole people. It is more than writing of the Revolutionary period, it defined the meaning of the American Revolution.mon SenseB. The American CrisisC.Declaration of IndependenceD. Defence of the English People3.____usually was regarded as the first American writer.A.William BradfordB. Anne BradstreetB.Emily Dickinson D.Captain John Smith4.Anne Bradstreet was a Puritan poet. Her poems made such a stir in England that she became known as the “____”who appeared in America.A.Ninth MuseB. Tenth MuseC. Best MuseD. First Muse5.The ship “——” carried about one hundred pilgrims and took 66 days to beat its way across the Atlantic. In December of 1620, it put the Pilgrims ashore at Plymouth, Massachusetts.A.SunflowerB.ArmadaC.MayflowerD.Pequod6.From 1733 to 1758, Benjamin Franklin wrote and published his famous____,an annal collection of proverbs. BA.The AutobiographyB.Poor Richard’s Almanacmon SenseD.The General Magazine7.Which is not connected with Thomas Paine?mon SenseB.The American CrisisC.The Rights of ManD.The Autobiography8.”These are the times that try men’s souls”,these words were once read to Washington’s troops and did much to spur excitement to further action with hope and confidence.Who is the author of these words?A.Benjamin FranklinB. Thomas PaineC.Thomas JeffersonD.George Washington9.Who was considered as the “Poet of American Revolution”?A.Anne BradstreetB.Edward TaylorC.Michael WigglesworthD.Philip Freneau10.The secular ideals of the American Enlightenment were exemplified in the life and career of ____.A.T homas HoodB.Benjamin FranklinC.Thomas JeffersonD.George Washington11.It was not until January 1776 that a widely heard public voice demanded complete separation from England. The voice was that of ___, whose pamphlet Common Sense, with its heated language, increased the growing demand for separation.A.Thomas PaineB.Thomas JeffersonB.George Washington D.Patrick Henry12.In American literature, the eighteen century was the age of the Enlightenment.____was the dominant spirit. BA.HumanismB.RationalismC.RevolutionD.Evolution13.At the Reason and Revolution Period, Americans were influenced by the European movement called the ____. CA.Chartist MovementB.Romanticist MovementC.Enlightenment MovementD.Modernist Movement14.In American literature, the enlighteners were favorable to _____. DA.the colonial orderB.religious obscurantismC.the Puritan traditionD.the secular literature15.The English colonies in North America rose in arms against their parent country and the Continental Congress adopted____in 1776. AA.the Declaration of IndependenceB.the Sugar ActC.the Stamp ActD.the Mayflower CompactChapters 31.____is respectfully remembered as a master of adventurous narrative and as the creator of an American hero-myth. CA.Washington IrvingB. John Greenleaf WhittierC. James Fenimore CooperD.Oliver Wendell Holmes2.A new ____had appeared in England in the last years of the eighteenth century. It spread to continental Europe and then to American early in the nineteenth century. CA.realismB.critical realismC.romanticismD.naturalism3.The importance of the frontier and the wilderness in American literature is for the first time well illustrated in the following works:___. CA.Benjamin Franklin’s The AutobiographyB.Washington Irving’s The Sketch BookC.James Fenimore Cooper’s The Leather stocking TalesD.Ralph Waldo Emerson’s Nature4.Choose Washington Irving’s works from the following. DA.The Sketch BookB.Bracebridge HallC. A History of New YorkD.Tales of a Travelers5.The period before the American Civil War is generally referred to as_____. AA.the Romantic PeriodB.the Modern PeriodC. the Naturalist PeriodD. the Realistic Period6.There is a good reason to state that New England Transcendentalism was actually ____on the Puritan soil. AA.RomanticismB.PuritanismC.MysticismD.Unitarianism7.In 1826 as an American diplomatic attache, Washington Irving was sent to Spain where he gathered material for his following works EXCEPT____. CA.The History of the Life and Voyages of Christopher Columbus,1828B.The Chronicles of the Conquest of Granada,1829C.The Life of Goldsmith, 1829D.The Alhambra, 18329. There is the famous___, in which there is the memorable event of an apparently headless horseman throwing his head at his rival in love, and the memorable character of Ichabod Crane with his mixture of shrewdness, credulity, self-as-sertiveness, and cowardice. BA.Rip Van WinkleB.The Legend of Sleep HollowC.The PioneersD.The American ScholarChapters 4-71.In 1836, a little book entitled____written by Ralph Waldo Emerson came out which made a tremendous impact on the intellectual life of America. AA.NatureB. The TranscendentalistC.PowerD.Wealth2.As a philosophical and literary movement, ____flourished in New England from the 1830s to the Civil War. DA.modernismB. rationalismC.sentimentalismD. transcendentalism3.Transcendentalist doctrines found their greatest literary advocates in ___Henry David Thoreau. BA.Thomas JeffersonB.Ralph Waldo EmersonC.Philip FreneauD.Edgar Allan Poe4.Transcendentalist recognized ____as the “highest power of the soul”.AA.intuitionB.logicC.data of the sensesD.thinking5.Edgar Allan Poe’s ____was an ingenious detective story and became the ancestor of the genre, influencing, among others, Conan Doyle. CA.The Fall of the House of UsherB.The Gold BugC.The Murders in the Rue MorgueD.The Purloined Letter6.From the following, which one is NOT the characteristic of Ralph Waldo Emerson’s poetry? DA.Being highly individualB.Harsh rhythmsck of form and polishck of optimism7.The publication of ___established Ralph Waldo Emerson as the most eloquent spokesman of New England Transcendentalism. AA.NatureB.Self-RelianceC.The American ScholarD.The Divinity School Address8.From Henry David Thoreau’s jail experienc e, came his famous essay, ___,which states Thoreau’s belief that no man should violate his conscience at the command of a government.A.WaldenB.NatureC.Civil Disobediencemon Sense9. Herman Melville called his friend Nathaniel Hawthorne ____in American literature. AA.the largest brain with the largest heartB.father of American poetryC.the transcendentalistD.the American scholar10.”The universe is composed of Nature and the soul...Spirit is present everywhere”. This is the voice of the book Nature written by Emerson, which pushed American Romanticism into a new phase, the phase of New England___. BA. RomanticismB.TranscendentalismC.NaturalismD.Symbolism11.Which of the following works is generally regarded as “the Bible of New England Transcendentalism”? DA. On BeautyB. WaldenC.The Conduct of LifeD.Nature12. ___is an appalling fictional version of Nathaniel Hawthorne’s belief that “the wrong doing of one generation lives into the successive ones” and that evil will come out evil though it may take many generations to happen. BA.The Marble FaunB. The House of Seven GablesC.The Blithedale RomanceD.Young Goodman Brown13. The giant Moby Dick may symbolize all EXCEPT____. BA.mystery of the universeB.sin of the whaleC.power of the Great NatureD.Evil of the world14. In Moby Dick, the voyage symbolizes____. BA.natureB.a search for truthC.the unknown worldD.the microcosm of human societyChapters8-101.Generally speaking, all those writers with a naturalistic approach to human reality tend to be ___. CA.transcendentalistsB.idealistsC.pessimistsD.impressionists2.Mark Twain, one of the greatest 19th century American writers, is well known for his____. CA.international themeB.waste-land imageryC.local colorD.symbolism3.In Henry James’ Daisy Miller, the author tries to portray the young woman as an embodiment of ____. BA.the force of conventionB.the free spirit of the New WorldC.the decline of aristocracyD.the corruption of the newly rich4.Which of the following is not written by Henry James? DA.The Portrait of A Lady and The EuropeansB.The Wings of the Dove and The AmbssadorsC.What Maisie Knows and The BostoniansD.The Genius and The Gilded Age5.Henry James experimented with different themes in his literary career, the most influential one being____. CA.nothingnessB.disillusionmentC.international themeD.relationship between men and women6.Theodore Dreiser’s Trilogy of Desire includes three novels. They are The Financier, The Titan and ____. AA.The StoicB.The GiantB.The Tycoon D.The Genius7.Stylistically, Henry James’ fiction is characterized by___. AA.highly refined languageB.ordinary American speechC.short, clear sentencesD.abundance of local images8.The book from which “all modern American literature comes” refers to ___. DA.The Great GatsbyB.The Sun Also RisesC.Moby DickD.The Adventures of Huckleberry Finn9.The impact of Darwin’s evolutionary theory on the American thought and the influence of the 19th-century French literature on the American men of letters gave rise to yet another school of realism:_____. BA.American modernismB.American naturalismB.American vernacularism D.American local colorism10.While embracing the socialism of Marx, Jack London also believed in the triumph of the strongest individuals. This contradiction is most vividly projected in the patently autobiographical novel___. CA.The Call of the WildeB.The Sea WolfB.Martin Eden D.The Iron Heel11.Stephen Crane’s best short stories include Open Boat, An Experiment and ___,all reinforcing the basic Crane motif environment and heredity overwhelming man. CA.The Black RidersB.A Man Said to the UniverseC.The Blue HotelD.The Red Badge of Courage12.The main theme of ____The Art of Fiction reveals his literary credo that representation of life should be the main object of the novel. AA.Henry James’B.Willian Dean Howells’C.Mark Twain’sD.Jack London’s13.Which statements about O.Henry is NOT right? DA.His stories are a penetrating criticism of America of the time.B.The ends of his stories are always surprising. AC.The plots of his stories are exceedingly clever and interesting.D.Many of his stories contain a great deal of slang and colloquial expressions.14.The publication of the novel____stirred a great nation to its depths andhurried on a great war. DA.My Bondage and My FreedomB.Stanzas on FreedomB.Voices of Freedom D.Uncle T om’s Cabin15.War in the novel____by Stephen Crane is a plain slaughter-house. There is nothing like valor or heroism on the battlefield, and if there is anything, it is the fear of death, cowardice, the natural instinct of man to run from danger. DA.War Is KindB.The Man That Corrupted HandleyburgC.The Black RidersD.The Red Badge of CourageChapters11-161.In which of the following works, Hemingway presents his philosophy about life and death through the depiction of the bull-fight as a kind of microcosmic tragedy? DA.The Green Hills of AfricaB.The Snows of KilimanjaroB.To Have and Have Not D.Death in the Afternoon2.___is Hemingway’s first true novel in which he depicts a vivid portrait of “The Lost Generation”. AA.The Sun Also RisesB.A Farewell to ArmsB.In Our Time D.For Whom the Bell Tolls3.F.Scott Fitzgerald’s fictional world is the best embodiment of the spirit of ___. AA.the Jazz AgeB.the Romantic PeriodB.the Renaissance Period D.the Neoclassical Period4.Which one of th e following figures does NOT belong to “The Lost Generation”? CA.Ezra PoundB.William Carlos WilliamsB.Robert Frost D.Theodore Dreiser5.The following writers were awarded Nobel Prize for literature EXCEPT_____. AA.F.Scott FitzgeraldB.William FaulknerB.John Steinbeck D.Ernest Hemingway6.____showed great interest in Chinese literature and translated the poetry of Li Po(Li Bai) into English, and was influenced by Confucian ideas. CA.T.S.EliotB.E.E.CummingsC.Ezra PoundD.Robert Frost7.Choose the novel of the following Not written by F.Scott Fitzgerald. CA.The Great GatsbyB.Tender Is the NightC.This Side of ParadiseD.The Beautiful and the Damned8.Thomas Stearns Eliot’s later poetry took a positive turn toward faith in life. This was demonstrated by ____, a poem of mystical conflict between faith and doubt. CA.The Waste LandB.The Hollow MenC.Ash-WednesdayD.Four Quartets。

《马斯克传》中逆向思维在文中的原话

《马斯克传》中逆向思维在文中的原话

英文回答:In the literary work entitled 'Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future', the concept of reverse thinking is expounded upon in relation to Elon Musk's innovative approach to problem-solving. Musk advocates formencing with the desired oue and systematically working backwards to discern the necessary steps for its attainment. This methodical approach affords him the ability to deconstructplex problems into manageableponents, thereby facilitating the identification of creative solutions that may elude others. Musk's adeptness at reverse thinking has been a pivotal determinant in his capacity as a trailblazing entrepreneur and innovator.文学作品"埃隆·穆斯克:特斯拉"(Elon Musk: Tesla, SpaceX)和"寻找奇妙的未来"(Quest for a Wantific Future)中,结合埃隆·穆斯克解决问题的创新方法,阐述了反向思维的概念。

雅思英语artificial artists

雅思英语artificial artists

雅思英语artificial artists雅思阅读Artificial artistsCan computers really create works of art?The Painting Fool is one of a growing number of computer programs which, so their makers claim, possess creative talents. Classical music by an artificial composer has had audiences enraptured, and even tricked them into believing a human was behind the score. Artworks painted by a robot have sold for thousands of dollars and been hung in prestigious galleries. And software has been built which creates art that could not have been imagined by the programmer.Human beings are the only species to perform sophisticated creative acts regularly. If we can break this process down into computer code, where does that leave human creativity? 'This is a question at the very core of humanity, ' says Geraint Wiggins, a computational creativity researcher at Goldsmiths, University of London. 'It scares a lot of people. They are worried that it is taking something special away from what it means to be human.'To some extent, we are all familiar with computerised art. The question is: where does the work of the artist stop and the creativity of the computer begin? Consider one of the oldest machine artists, Aaron, a robot that has had paintings exhibited in London's Tate Modern and the SanFrancisco Museum of Modern Art. Aaron can pick up a paintbrush and paint on canvas on its own. Impressive perhaps, but it is still little more than a tool to realise the programmer's own creative ideas.Simon Colton, the designer of the Painting Fool, is keen to make sure his creation doesn't attract the same criticism. Unlike earlier 'artists' such as Aaron, the Painting Fool only needs minimal direction and can come up with its own concepts by going online for material. The software runs its own web searches and trawls through social media sites. It is now beginning to display a kind of imagination too, creating pictures from scratch. One of its original works is a series of fuzzy landscapes, depicting trees and sky. While some might say they have a mechanical look, Colton argues that such reactions arise from people's double standards towards software-produced and human-produced art. After all, he says, consider that the Painting Fool painted the landscapes without referring to a photo. 'If a child painted a new scene from its head, you'd say it has a certain level of imagination, ' he points out. 'The same should be true of a machine.' Software bugs can also lead to unexpected results. Some of the Painting Fool's paintings of a chair came out in black and white, thanks to a technical glitch. This gives the work an eerie, ghostlike quality. Human artists like the renowned Ellsworth Kelly are lauded for limiting their colour palette - so why should computers be any different? Researchers like Colton don't believe it is right to measure machinecreativity directly to that of humans who 'have had millennia to develop our skills'. Others, though, are fascinated by the prospect that a computer might create something as original and subtle as our best artists. So far, only one has come close. Composer David Cope invented a program called Experiments in Musical Intelligence, or EMI. Not only did EMI create compositions in Cope's style, but also that of the most revered classical composers, including Bach, Chopin and Mozart. Audiences were moved to tears, and EMI even fooled classical music experts into thinking they were hearing genuine Bach. Not everyone was impressed however. Some, such as Wiggins, have blasted Cope's work as pseudoscience, and condemned him for his deliberately vague explanation of how the software worked. Meanwhile, Douglas Hofstadter of Indiana University said EMI created replicas which still rely completely on the original artist's creative impulses. When audiences found out the truth they were often outraged with Cope, and one music lover even tried to punch him. Amid such controversy, Cope destroyed EMI's vital databases.But why did so many people love the music, yet recoil when they discovered how it was composed? A study by computer scientist David Moffat of Glasgow Caledonian University provides a clue. He asked both expert musicians and non-experts to assess six compositions. The participants weren't told beforehand whether the tunes were composed by humans or computers, but were asked to guess, and then rate howmuch they liked each one. People who thought the composer was a computer tended to dislike the piece more than those who believed it was human. This was true even among the experts, who might have been expected to be more objective in their analyses.Where does this prejudice come from? Paul Bloom of Yale University has a suggestion: he reckons part of the pleasure we get from art stems from the creative process behind the work. This can give it an 'irresistible essence', says Bloom. Meanwhile, experiments by Justin Kruger of New York University have shown that people's enjoyment of an artwork increases if they think more time and effort was needed to create it. Similarly, Colton thinks that when people experience art, they wonder what the artist might have been thinking or what the artist is trying to tell them. It seems obvious, therefore, that with computers producing art, this speculation is cut short - there's nothing to explore. But as technology becomes increasingly complex, finding those greater depths in computer art could become possible. This is precisely why Colton asks the Painting Fool to tap into online social networks for its inspiration: hopefully this way it will choose themes that will already be meaningful to us.Questions 27-31Choose the correct letter, A, B, C or D.Write the correct letter in boxes 27-31 on your answer sheet.27 What is the writer suggesting about computer-produced works in the first paragraph?A People's acceptance of them can vary considerably.B A great deal of progress has already been attained in this field.C They have had more success in some artistic genres than in others.D The advances are not as significant as the public believes them to be.28 According to Geraint Wiggins, why are many people worried by computer art?A It is aesthetically inferior to human art.B It may ultimately supersede human art.C It undermines a fundamental human quality.D It will lead to a deterioration in human ability.29 What is a key difference between Aaron and the Painting Fool?A its programmer's backgroundB public response to its workC the source of its subject matterD the technical standard of its output30 What point does Simon Colton make in the fourth paragraph?A Software-produced art is often dismissed as childish and simplistic.B The same concepts of creativity should not be applied to all forms of art.C It is unreasonable to expect a machine to be as imaginative as a humanbeing.D People tend to judge computer art and human art according to different criteria.31 The writer refers to the paintings of a chair as an example of computer art whichA achieves a particularly striking effect.B exhibits a certain level of genuine artistic skill.C closely resembles that of a well-known artist.D highlights the technical limitations of the software.Questions 32-37Complete each sentence with the correct ending, A-G below.Write the correct letter, A-G, in boxes 32-37 on your answer sheet.32 Simon Colton says it is important to consider the long-term view when33 David Cope's EMI software surprised people by34 Geraint Wiggins criticised Cope for not35 Douglas Hofstadter claimed that EMI was36 Audiences who had listened to EMI's music became angry after37 The participants in David Moffat's study had to assess music without Questions 38-40Do the following statements agree with the claims of the writer in Reading Passage 3?In boxes 38-40 on your answer sheet, writeYES if the statement agrees with the claims of the writerNO if the statement contradicts the claims of the writerNOT GIVEN if it is impossible to say what the writer thinks about this38 Moffat's research may help explain people's reactions to EMI.39 The non-experts in Moffat's study all responded in a predictable way.40 Justin Kruger's findings cast doubt on Paul Bloom's theory about people's prejudice towards computer art.。

2024年高考英语真题完全解读(全国甲卷)(真题解读)

2024年高考英语真题完全解读(全国甲卷)(真题解读)

2024年高考英语真题完全解读(全国甲卷)适用省份四川、西藏、陕西、青海、宁夏、内蒙古养成良好的答题习惯,是决定成败的决定性因素之一。

做题前,要认真阅读题目要求、题干和选项,并对答案内容作出合理预测;答题时,切忌跟着感觉走,最好按照题目序号来做,不会的或存在疑问的,要做好标记,要善于发现,找到题目的题眼所在,规范答题,书写工整;答题完毕时,要认真检查,查漏补缺,纠正错误。

总之,在最后的复习阶段,学生们不要加大练习量。

在这个时候,学生要尽快找到适合自己的答题方式,最重要的是以平常心去面对考试。

听力本试卷共10页,满分150分。

考试用时150分钟。

2024年高考全国甲卷英语试题第一部分听力(共两节, 满分30分)第一节(共5小题; 每小题1. 5分, 满分7. 5分)听下面5段对话。

每段对话后有一个小题, 从题中所给的A、B、C三个选项中选出最佳选项。

听完每段对话后, 你都有10秒钟的时间来回答有关小题和阅读下一小题。

每段对话仅读一遍。

1. Where are the speakers going?A. A new restaurant.B. A convenience store.C. Their office.2. When is the class presentation according to Vicky?A. On Thursday.B. On Wednesday.C. On Tuesday.3. Why does the woman make the call?A. To check the price.B. To make an apology.C. To cancel her order.4. What is the probable relationship between the speakers?A. Husband and wife.B. Boss and employee.C. Salesperson and customer.5. What are the speakers mainly talking about?A. Their move to a new place.B. Tom's friends at school.C. A sports center.第二节(共15小题; 每小题1. 5分, 满分22. 5分)听下面5段对话或独白。

The Orbifold Chow Ring of Hypertoric Deligne-Mumford Stacks

The Orbifold Chow Ring of Hypertoric Deligne-Mumford Stacks

1. Introduction Hypertoric varieties (cf. [BD], [P]) are the hyperk¨ ahler analogue of K¨ ahler toric varieties. The algebraic construction of hypertoric varieties was given by Hausel and Sturmfels [HS]. Modelling on their construction, in this paper we construct hypertoric DM stacks and study their orbifold Chow rings. According to [BD], the topology of hypertoric varieties is determined by hyperplane arrangements. In this paper we define stacky hyperplane arrangements from which we define hypertoric DM stacks. Let N be a finitely generated abelian group of rank d and N → N the natural projection modulo torsion. Let β : Zm → N be a homomorphism determined by a collection of nontorsion integral vectors {b1 , · · · , bm } ⊆ N . We require that β has finite cokernel. The Gale dual of β is denoted by β ∨ : (Zm )∗ → DG(β ). A generic element θ in DG(β ) and the ∗ vectors {b1 , · · · , bm } determine a hyperplane arrangement H = (H1 , · · · , Hm ) in NR . We call A := (N, β, θ) a stacky hyperplane arrangement.

黑龙江省哈尔滨师范大学附属中学2024-2025学年高三上学期10月月考英语试题

黑龙江省哈尔滨师范大学附属中学2024-2025学年高三上学期10月月考英语试题

黑龙江省哈尔滨师范大学附属中学2024-2025学年高三上学期10月月考英语试题一、听力选择题1.How many of the dresses does the woman have?A.One.B.Two.C.Three.2.How does the man feel about the shoes?A.Satisfied.B.Embarrassed.C.Dissatisfied.3.Where are the speakers probably?A.In a store.B.In an office.C.In a classroom.4.What is the relationship between the speakers?A.Strangers.B.Friends.C.Husband and wife. 5.What is the weather like now?A.Cloudy.B.Sunny.C.Rainy.听下面一段较长对话,回答以下小题。

6.What do we know about the woman?A.She likes the outdoors.B.She tripped up on a rock.C.She never camped in the woods.7.What is hard in the dark according to the man?A.Setting up a tent.B.Avoiding rocks.C.Building a fire.听下面一段较长对话,回答以下小题。

8.What did the man do yesterday?A.He called his friends.B.He visited the gallery.C.He made a reservation. 9.What is the man’s problem?A.He found the gallery was full of people.B.He didn’t know where to pick up the tickets.C.His name is not on the list.10.What will the woman most likely do next?A.Give some tickets to the man.B.Close the gallery.C.Contact a lady.听下面一段较长对话,回答以下小题。

读外刊,学词汇-甲烷与德尔菲女祭司之谜

读外刊,学词汇-甲烷与德尔菲女祭司之谜

读外刊,学词汇-甲烷与德尔菲女祭司之谜这一期的《经济学人》出现了两篇关于甲烷-methane的文章。

今天来看看第二篇。

标题是:Methane leaks: Put a plug in it Governments should set targets to reduce methane emissionsset targets to do sth设定目标T HE ORACLE of Delphi’s trance-like state is thought to have been induce by gases seeping into her chamber through a crack in the ground. Some say methane was part of the cocktail. If true, the gas has shaped the course of civilisations at least three times: in ancient Greece when wars were waged and kingdoms fell on the strength of the Oracle’s prophecies, in the 20th century when methane-fuelled machines helped power industrialisation, and today, when the gas is a central but under-appreciated part of the fight against climate change.人们认为,德尔菲女祭司迷幻的状态是由于吸入了地缝中释放出来的气体引起的。

有些人说,甲烷就是这些气体中的一种。

如果事实如此,那么甲烷这种气体至少在文明进程中起到了三次作用:第一次,在古希腊,当战争被挑起,王国应验了德尔菲神谕而衰落;第二次,在20世纪,甲烷成了机器的燃料,帮助动力实现了工业化;第三次,即今天,甲烷是人类与气候变化的斗争中重要但又被忽视的气体。

OPERATIONS RESEARCH AND MANAGEMENT SCIENCE APPLICATIONS OF FUZZY THEORY

OPERATIONS RESEARCH AND MANAGEMENT SCIENCE APPLICATIONS OF FUZZY THEORY

Thematic Division: Artificial Intelligence.________________________________________________________________________________Analytical ReviewSubdivision: Mathematical Aspects of Artificial Intelligence. Registration code:ma2© Chemistry and Computational Simulation. Butlerov Communications . 2001. No. 4. ___________ K. Marx St., 68. 420015 Kazan. Tatarstan. Russia. ________ 45Received 14 July, 2001OPERATIONS RESEARCH AND MANAGEMENT SCIENCE APPLICATIONS OF FUZZY THEORY© I. Burhan TurksenPresident IFSA. Director, Information/Intelligent Systems Laboratory Mechanical and Industrial Engineering. University of Toronto.Toronto, Ontario, M5S 3G8. CANADA. E-mail: turksen@mie.utoronto.caKeywords: Humanistic systems, decision-making, operation research, management science, industrial engineering, fuzzy system models. AbstractOperations Research, OR, and Management Science, MS, methodologies attempt to aid "human decision-making" for the improvement of various performance indecies in operation and control of complex "humanistic systems". A historical review of Zadeh's papers and fuzzy system applications reveal that OR, and MS applications were started early in the development of fuzzy systems, even before the advent of fuzzy control applications. Furthermore the development of fuzzy systems applications continued in OR and MS in the shadow of fuzzy control. It is forecasted that the novel application of fuzzy systems will appear more frequently in OR and MS for managerial decision support and control in the areas of strategic and tactical planning, resource allocation, scheduling, inventory control, logistics, health care and financial planning, etc., under the headings of mathematical programming, quality control, network analysis and control, consumer preference analysis, client credit worthiness, financial portfolio analysis, medical diagnosis, internet and network analysis and design, etc.In particular it is forecasted that Type 2 fuzzy knowledge representation and reasoning will be a key development area in the new millennium. Type 2 fuzzy system models expose uncertainties and risks associated with the real life system behaviours and help management to make better decision for complex humanistic systems. In the new millennium, we need to conduct further research on human information processing capabilities in order to comprehend the impact of fuzzy theory, CWW and perception on OR and MS.IntroductionIn order to understand, the development of the "Operations Research, OR, and Management Science, MS, Applications of Fuzzy Theory", it is essential to comprehend the message that Professor Zadeh has been attempting to communicate to us. Naturally what follows is my personal perspective based on my re-reading his papers and listening and re-assessing his many lectures in numerous conferences. I believe his main thesis has been that, in humanistic systems, human reasoning and decision making is not just "measurement" based, as we are taught through out our academic education, rather "perception" based. Furthermore, our knowledge and decisions are communicated between humans with words of natural languages which strongly suggest "Computing with Words", CWW. It is, I believe, this thesis, that resided in the deep recesses of his genius and commenced with "Fuzzy Sets" in 1965 and came to surface toward the beginning of this Millennium in "Toward a Perception-Based Theory... " (Zadeh, 2000).In R. Hodge's (2000) words " `Fuzzy Logic` was born out of Zadeh's acute sense of different logic(s) inherent in human language and thought" and " his ... concern for the strengths as well as weaknesses of natural languages in scientific thought..." Zadeh uses `fuzzy` "to apply to categories of language or thought, not to the nature of (physical, mechanistic) phenomena". His use of "fuzzy" is an "example of his genius with language" with a background in " Indo-European languages", i.e., Russian and Iranian, and Turki languages, i.e., Azeri-Turkish. Deep roots of 'fuzzy' logic can be found in R.Hodges(2000) paper. For example, Hodge states "...'fuzzy' comes from a word (fusus) that refers ... to energies, particles as well as liquids: to a world with unstable outlines, a world in flux. The family of English words that descend from it reflects the range of meanings of fusus. They include 'infuse', 'con-fuse' and 'transfuse' from 'melted or joined', 'diffuse' from 'spread out, extended' and 'profuse' and 'effuse' from 'pour out in abundance'. All these words are formed by the addition of a prefix to 'fusus' to limit or constrain the fuzzy range of meanings of fusus to a more specific (but still somewhat fuzzy) meaning."Zadeh came, I believe, to realized the limitations placed on scientific thought processes by the classical paradigms while he was working on his publications that appeared prior to 1965, e.g., "Linear Systems Theory-The State Space Approach"(1963) "Frequency Analysis"(1950), "Wiener's theory of prediction"(1950), "Sample-Data Systems"(1952), etc.His concern therefore with human decision-making processes in scientific thought brought him in contact and initially in conflict with the defenders of Probability theory and later with OR and MS. [I remember OR Conferences where Professor Zadeh was an invited guest speaker addressing large audiences. (A further personal note: I was introduced to Professor Zadeh in summer 1970 at NATO Conference on OR Education that was held in Istanbul, Turkey, by R. Machol, then the President of ORSA, Operation Research Society of America.)]It is in this context, I would like to say first a few words about OR and MS and then trace Zadeh's works and attempt to show his impact on OR and MS and then review some of the essential contribution of the pioneers who contributed to OR and MS applications of Fuzzy theory.Briefly, it can be said that Professor Zadeh initially thought that fuzzy theory would impact human decision making processes and therefore what appeared to be a starting point for this would be OR and MS. Because OR and MS began to introduce mathematical models and solutions to humanistic systems at the end of WWII.It should be recalled that "humanistic" engineering approach had started with Fredrick W. Taylor in the late 1800's. He is often called "the father of scientific management". Taylor was the founder of a school that included C. Barth, H.L. Grant, H. Emerson, and Frank and Lillian Gilbreth. They have designed tools, equipment and systems mathematically that took into account human limitation and capabilities that are physical and physcological.When we trace the successes of fuzzy logic, we find that initially it started to impact OR and MS investigations; but later the successes in fuzzy control realized in Japan and later in Europe and North America have shadowed its impact on Decision Sciences. Thus the fuzzy logic applications in management decision support area were fewer in comparison to many successes in fuzzy control.OR and MS ApplicationOR and MS studies started with the application of mathematical models to strategic and tactical military operations related to military decision making processes, during WWII. Later, OR and MS studies became an essential component of the curriculums in Departments of Industrial Engineering, Operations Research, OR, and Management Sciences, MS, and Systems Management Engineering at the Universities starting in the '50s.There are good many operational issues that are investigated in OR and MS with the purpose of discovering and disseminating knowledge about planned, coordinated and controlled activities of people, machines, materials, money, energy and information. Some of these include planning, allocation, and distribution of resources; analysing, scheduling and controlling these activities; analysis andAnalytical review ________________________________________________________________________________ I. B. Turksen control of the quality of goods. Some typical examples are planning production of goods, spare parts, inventory control, scheduling processes, tasks and orders, materials, information, energy, and capital; analysis, planning and controlling waiting lines, forecasting and predicting demand, marketing and assessment of consumer and/or client preferences and demand patterns, etc. These operational and logistic issues need to be dealt with in every activity of every day human life by executive and managerial decision-making in manufacturing, process and production industries, in healthcare systems, in government agencies, in financial institution, etc. Some of the essential methodologies that are utilized in OR and MS are: Linear and non-linear programming, probability, statistics, and stochastic process, mathematics, i.e., set and logic theories, algebra and calculus, etc.Let us next review some of Professor L.A. Zadeh's messages. In his seminal paper "Fuzzy sets" (1985) he states:"...fuzzy sets...may prove to have a much wider scope of applicability, particularly in the fields of pattern classification and information processing."It is known that the first sceptics of fuzzy sets were probability theorist which included some OR and MS theorist. They have confused the agenda of fuzzy sets and the agenda of probability theory and, I believe, they were somehow threatened by fuzziness.At any rate, Professor Zadeh responded with his paper on "Probability Measures of Fuzzy Events" (1968) "showing how the notion of a fuzzy event can be given a precise meaning in the context of fuzzy sets".Ten years later, Professor Zadeh gave further insights with his interpretation of probability theory when he introduced the possibility theory in "Fuzzy Sets as a Basis for a Theory of Possibility"(1978). In that thesis, he advocates that "...when our main concern is with the meaning of information – rather than with its measure (in Wiener and Shannon sense of the statistical theory of communication)- the proper framework for information analysis is possibilistic rather than probabilistic in nature...".It can be said that the first impact of fuzzy theory was demonstrated in "Decision-making in a Fuzzy Environment" by R.E. Bellman and L.A. Zadeh(1970) where it was stated that "By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control are fuzzy in nature". Further, it is stated that "The use of these concepts is illustrated by examples involving multi-stage decision processes in which the system under control is either deterministic or stochastic".This may be considered the forerunner of the OR and MS applications of fuzzy theory [Kacprzyk (1982), Kacprzyk and Yager (1985).Professor Zadeh next published his very important work "Outline of a new Approach to the Analysis of Complex Systems and Decision Processes"(1973). He described this "approach...(to be)...a substantive departure from the conventional quantitative techniques of system analysis"...(which) "has three main distinguishing features:1) Use of so called 'linguistic' variables in place of or in addition to numerical variables; 2) characterization of simple relations between variables by fuzzy conditional statements; and 3) characterization of complex relations by fuzzy algorithms."This work was a landmark paper. On the basis of the ideas proposed in this paper Mamdani and Assilian (1981) developed first fuzzy control model. This then lead to the industrial applications of fuzzy control.In 1975, Professor Zadeh, in his celebrated paper, "Concept of a Linguistic Variable...", states: "One of the fundamental tenets of modern science is that a phenomenon can not be claimed to be well understood until it can be characterized in quantitative terms". He further states "Unquestionably...(this has) proved to be highly effective in dealing with mechanistic systems, that is, with inanimate systems whose behaviour is governed by laws of mechanics, physics, chemistry and electromagnetism. Unfortunately, the same cannot be said about humanistic systems, which-so far at least-have proved to be rather impervious to mathematical analysis and computer simulation"..."It may be argued, as we have done in...(previous writings), that the ineffectiveness of computers in dealing with humanistic systems is a manifestation of what might be called the principle of incompatibility- a principle which asserts that high precision is incompatible with high complexity"..."In retreating from precision in the face of overpowering complexity, it is natural to explore the use of what might be called linguistic variables, that is, variables whose values are not numbers but words or sentences in a natural or artificial language"..."What is...important, ..., is that by use of so-called extension principle, much of the existing mathematical apparatus of systems analysis can be adapted to the manipulation of linguistic variables. In this way, we may be able to develop an approximate calculus of linguistic variables which could be of use in wide variety of practical applications". This may be considered the essential message for the beginning of fuzzy systems applications in OR and MS. It is at about this juncture we begin to see works on "optimization of fuzzy Systems", "fuzzy mathematical programming "(Zimmermann, 1978), etc. The years between 1965 and 1975 may be considered incubation years where essential basic works on fuzzy mathematics, cognitive and decision process were being to be developed by Kaufmann(1975), Zadeh, Fu, Tanaka, Shimura(1975), Neogita and Ralescu, (1975).Next, Zadeh published "A Theory of Approximate Reasoning"(1979) where he states that "Informally, by approximate or, equivalently, fuzzy reasoning, we mean the process or processes by which a possibly imprecise conclusion is deduced from a collection of imprecise premises. Such reasoning, is, for the most part, qualitative rather than quantitative in nature, and almost all of it falls outside of the domain of applicability of classical logic."In 1983, Zadeh published "The Role of Fuzzy Logic in the Management of Uncertainty in Expert Systems" where he states "...the convensional approaches to the management of uncertainty in expert systems are intrinsically inadequate because they fail to come to grips with the fact that much of the uncertainty in such systems is possibilistic rather than probabilistic in nature. As an alternative, it is suggested that a fuzzy-logic-based computational framework be employed to deal with both possibilistic and probabilistic uncertainty within a single conceptual System".During this period, we begin to see substantial works on "decision making and expert systems" and their applications to OR and MS, e.g., Zimmermann, 1987; Negoita, 1981, 1983. There were naturally many additional works on fuzzy mathematics and fuzzy optimization, as well, measurement of membership functions came forward at this period, e.g., D. Dubois and H. Prade, 1980; Negoita and Stefanescu, 1982; Gupta and Sanchez, 1982; Norwich and Turksen, 1981, 1982; Kaufmann and Gupta, 1985.In these pioneering works we observe investigations on: membership functions, fuzzy relations, fuzzy logic and inference, classification and similarity measures, expert systems, medical diagnosis, psychological measurements and human behaviour, fuzzy clustering algorithms, individual and group decision-making in fuzzy environments, fuzzy mathematical programming, multi-criteria decision-making, and decision support systems.Two years later, Professor Zadeh published "Syllogistic Reasoning in Fuzzy Logic and its Application to Usuality and Reasoning with Dispositions" where he states: "Fuzzy logic may be viewed as a generalization of multi-valued logic in that it provides a wider range of tools for dealing with uncertainty and imprecision in knowledge representation, inference and decision analysis". In between these last two papers, he published "A theory of Commonsense Knowledge" where he states "...The conventional knowledge representation techniques based on the use of predicate calculus and related methods are not well-suited for the presentation of commonsense knowledge because the predicates in propositions which represent commonsense knowledge do not, in general, have crisp denotations"..."More generally, the applicability of predicate calculus and related logic systems to the representation of common sense knowledge reflects the fact that such systems make no provision for dealing with uncertainty. Thus, in predicate logic, for example, a proposition is either true or false and no 46 ___________________http://chem.kstu.ru ______________ ©Химияикомпьютерноемоделирование. Бутлеровскиесообщения.2001. No. 4. 45.OPERATIONS RESEARCH AND MANAGEMENT SCIENCE APPLICATIONS OF FUZZY THEORY ________________________________________ 45-48 © Chemistry and Computational Simulation. Butlerov Communications . 2001. No. 4. _______________ E-mail: info@kstu.ru ______________________47 gradations of truth or membership are allowed". It is important to note the separation of "gradation of truth or membership" in Zadeh's words. Unfortunately, research in this area is rather limited, e.g., Narazaki and Turksen, (1994).In the nineties, we have been told again and again that fuzzy logic plays a central role in human reasoning and Computing With Words(Zadeh, 1996), and that it is a key for the enhancement of scientific reasoning in management support systems as decision-making aids. An example of a work in this direction is Computing With Words(Wang, 20001). More recently, Professor Zadeh(1999) stated: "There are three basic concepts that underly human cognition: granulation, organization and causation"..."The theory of fuzzy information granulation (TFIG) is inspired by the ways in which humans granulate information and reason with it."..."The point of departure in TFIG is the concept of a generalized constraint."..."The principle modes of generalization in TFIG are fuzzification (f. generalization); granulation (g-generalization); and fuzzy granulation (f.g-generalization)". Again research in these areas appears to be non-existent in general. Although some of these concepts appear in some papers in special application, e.g., Shanahan(2000).In more recent years, we find there are quite a few fuzzy theory applications in OR and MS. Examples of these are "Quality Control and Maintenance", "Ecological Modeling and Data Analysis" "Fuzzy Logic and Possibility Theory in Biomedical Engineering", "puter Aided Medical Decision Systems", "Strategic Planning", "Decision and Planning in R&D", "Production Planning and Scheduling", "Fuzzy Sets Methodologies in Actuarial Sciences", "Fuzzy Sets in Human Factors and Ergonomics", "...Software Methodology and Design Tools"(Zimmermann, 1999). As well, we find: "Retrieving Information", " Decision-Making", "Designing and Optimization" (Dubois, Prade and Yager, 1997), "Scheduling Under Fuzziness" (Slowinski, Hapke, 2000), "Optimization and Decision" (FSS, Vol. 119, No 1, 2001).Thus, we observe that there is a resurgence of fuzzy theory applications in OR and MS. However, we need to work on further developments of fuzzy theory in particular on Type 2 fuzzy knowledge representation and reasoning. This is more acutely needed in the development of humanistic decision making domains which Professor Zadeh have been urging us to direct our attention over the last thirty five years or so.Over the years: it should be noted that the sceptics of fuzzy theory have been asking two questions.(i) If fuzziness is to deal with imprecision why are the membership functions so precise?(ii) Why do fuzzy theory use the same formulas of the two-valued theory for "AND", "OR", "IMP", etc.?Type 2 theory responds positively to these questions: (i) Type 2 membership exposes uncertainty in the acquisition of membership functions and as well as a representation of perception with information granulation (Burillo and Bustince, 1995, 1996; Bilgic and Turksen, 1997, 2000; Norwich and Turksen, 1981, 1982, 1984; Karnik and Mendel, 1998, 1999, 2000; Liang and Mendel, 2000); (ii) Type 2 reasoning brings to surface the increase in uncertainty in the combination of uncertain concepts identified by words by the application of Fuzzy Disjunctive Canonical Forms, FDCF and Fuzzy Conjunctive Canonical Forms, FCCF.(Turksen, 1999, 2001; Gerhrk, Walker and Walker, 2000; Resconi and Turksen, 2001). Thus in Type 2 theory we can represent uncertainty more effectively and expose risks associated with decision making and hence provide a more effective tool for managerial decision making in OR and MS.ConclusionsIt is reasonable to conclude that in the new millennium there will be many more applications of fuzzy theory in OR and MS and other domains of "humanistic systems". For "Management of uncertainty is an intrinsically important issue in the design of ... systems because much of the information in the knowledge base ... is imprecise, incomplete or not totally reliable" (Zadeh, 1983). As well "The conventional ... use(s) of predicate calculus ... are not well suited for the representation of commonsense knowledge because the predicates in propositions... do not, ...have crisp denotations. ...Most Frenchmen are not tall can not be represented as a well-formed formula in predicate calculus..." (Zadeh, 1984). Furthermore, Zadeh observes "... in its traditional sense, computing involves ...manipulation of numbers and symbols. By contrast, humans employ mostly words in computing and reasoning, arriving at conclusions expressed in words from premises expressed in a natural language or having the form of mental perceptions" (Zadeh, 1996).It is to be observed naturally, that in this information age of telecommunications, we rely heavily on natural languages to express our thoughts, our perceptions and our decisions in management of corporations as well as in our everyday activities.Decisions on operational, financial, healthcare, and environmental systems, etc., are complex and data we have to rely on are often imprecise or appear to be unrelated even though we have access to large data bases.We may have access to terabytes or more data stored in data warehouses, but to analyse them efficiently and effectively, we need to use fuzzy data mining and fuzzy system modeling techniques. The forerunners of these are OR and MS applications.In this regard, we can surmize the importance of CWW and Perceptions by observing the essential levels and elements of information processing in Human Communications (table 1).Table 1. Levels of Information Processing in Human Communication.LevelInformation Processing Examples I SensesSymbol Sound, line, color II RecognitionSignal Language, contours (shape) III Understanding (of micro knowledge)Local meaning Meanings of words, single objects IV Understanding (of macro knowledge)Global meaning Meanings of sentences, complex objects V Understanding (of emotionsand intentions)Impression, conception Association, imagination, the arts, personalityReferences[1] R.E. Bellman and L.A. Zadeh, "Decision-Making in a Fuzzy Environment", Management Science . 1970. 17: 4. P.141-164.[2] T. Bilgic, I.B. Turksen, "Measurement- Theoretical Frameworks in Fuzzy Theory", in: Fuzzy Logic in Artificial Intelligence , A. Ralescue, T. Martin (eds.), Springer-Verlag, Berlin . 1997. P.552-565.[3] T. Bilgic, I.B. Turksen, "Elicitation of Membership Functions: How Far Can Theory Take us?", Proceedings of Fuzzy-IEEE ’97, July 1-5. 1997. Barcelona, Spain. 1997. V.3. P.1321-1325.[4] T. Bilgic, I.B. Turksen, "Measurement of Membership Functions: Theoretical and Empericial Work", in: Handbook of Fuzzy Theory , D. Dubois and H. Prade (eds.). 2000.[5] P. Burillo, H. Bustince, "Intuitionistic fuzzy relations Part I", Mathware Soft Comput . 1995. 2. P.5-38.[6] P. Burillo, H. Bustince, "Entropy on Intuitionistic Fuzzy Sets and on Fuzzy Sets and on Interval Valued Fuzzy Sets", Fuzzy Sets Syst . 1996. 78. P.305-316.[7] H. Bustince, P. Burillo, "Interval Valued Fuzzy Relations in a Set Structures", J. Fuzzy Math . 1996. 4. P.765-785.[8] D. Dubois and H. Prade, "Fuzzy Sets and Systems: Theory and Applications. Academic Press . New York. 1980.[9] D. Dubois, H. Prade and R.Yager, Fuzzy Information Engineering, Wiley. New York . 1997.Analytical review ________________________________________________________________________________ I. B. Turksen[10] D.Dubois and H.Prade, (eds) Special Issue on Optimizatin and Decision, Fuzzy Sets and Systems. 2001.119. 1.[11] M. Gerhrk, C. Walker and E. Walker, Fuzzy Normal Forms and Truth Tables, Proceedings of JCIS- 2000, Feb. 27-March3. 2000Atlantic City. New Jersey. P.211-214.[12] M.M. Gupta and E. Sanchez (eds), "Approximate Reasoning in Decision Analysis", North-Holland.New York. 1982.[13] R. Hodge, "Key Terms in Fuzzy Logic Deep Roots and New Understanding", University of Western Sydney. Australia (Private Communications) 2000.[14] N.N. Karnik, Type 2 Fuzzy Logic Systems, PhD Dissertation, University of Southern California, Los Angeles. CA. 1998.[15] N.N. Karnik and J.M. Mendel, Type 2 Fuzzy Logic Systems: Type-Reduction, Presented at 1998 IEEE SMC Conference. San Diego. CA. October. 1998.[16] N.N. Karnik and J.M. Mendel, Introduction to Type 2 Fuzzy Logic Systems, Presented at1998 IEEE FUZZ Conference. Anchorage. AK. May. 1998.[17] N.N. Karnik, J.M. Mendel, and Q. Liang, Type 2 Fuzzy Logic System, IEEE Trans. Fuzzy Systems. Oct. 1999. V.7. No.5[18] A. Kaufmann, "Introduction to the Theory of Fuzzy Subsets", Academic Press. New-York. 1975.V.1.[19] A. Kaufmann and M.M. Gupta, "Introduction to Fuzzy Arithmetic: Theory and Applications", Van Nostrand Reinhold. New York. 1985.[20] Q. Liang and J.M. Mendel, Interval Type 2 Fuzzy Logic System, Proceedings of the 9th IEEE International Conference on Fuzzy Systems, 7-10 May 2000. San Antonio, Texas, 328-333.[21] Q. Liang and J.M. Mendel, Decision Feedback Equalizers for Non-linear Time Varying Channels using Type 2 Fuzzy Adaptive Filters, Proceedings of the 9th IEEE International Conference on Fuzzy Systems, 7-10 May 2000. San Antonio. Texas. P.883-888.[22] E.H. Mamdani, "Applications of Fuzzy Algorithms for Control of Simple Dynamical Plant", Proceedings of IEEE, 121 (1976) P.1585-1588.[23] E.H. Mamdani, "Advances in the Linguistic Synthesis of Fuzzy Controllers", J. Man-Mach. Studies, 8 (1976) 669-678.[24] E.H. Mamdani, "Applications of Fuzzy Logic to Approximate Reasoning Using Linguistic Systems", IEEE Trans. Comput., 26 (1977) 1182-1191.[25] E.H. Mamdani and S. Assilian, "An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller, (in) Fuzzy Reasoning and Its Applications (eds) E.H. Mamdani andB.R. Gaines, Academic Press. New York. 1981. 311-323.[26] H. Narazaki and I.B. Turksen, "An Integrated Approach for Syllogistic Reasoning and Knowledge Consistency Level Maintennance", IEEE Trans on SMC. 24. 4. 1994. 548-563.[27] C.V. Negoita and D.A. Ralescu, , "Applications of Fuzzy Sets to Systems Analysis", Birkhauser, Basel and Stuttgart. 1975.[28] C.V. Negoita and D.A. Ralescu, , "Applications of Fuzzy Sets to Systems Analysis", Birkhauser, Basel and Stuttgart. 1975.[29] C.V. Negoita, "Fuzzy Systems", Abacus, Tunbridge Wells. UK.1981.[30] C.V. Negoita and A.C. Stefanescu, "On Fuzzy Optimization", in Gupta and Sanchez (eds), Approximate Reasoning in Decision Analysis. North Holland. New York. 1982. P.247-250.[31] C.V. Negoita, "Expert Systems and Fuzzy Systems", Benjamin/Cummings, Menlo Park, Cal. 1985.[32] A.M. Norwich and I.B. Turksen, "Measurement and Scaling of Membership Functions", in: Lasker, G.E. (ed.), Proceedings of International Conference on Applied Systems and Cybernetics, Vol. VI, Acapulco, Mexico, Dec.1980, Pergamon Press, New York.1981. P.2851-2858.[33] A.M. Norwich and I.B. Turksen, "Stochastic Fuzziness", in: M.M. Gupta and E.E. Sanchez (eds.), Approximate Reasoning in Decision Analysis, North Holland, Amsterdam. 1982. 13-22.[34] A.M. Norwich and I.B. Turksen, "The Fundamental Meausrement of Fuzziness", in: R.R. Yager (ed.), Fuzzy Sets and Possibility Theory. Pergamon Press. New York. 1982. P.49-60.[35] A.M. Norwich and I.B. Turksen,"The Construction of Membership Functions", in: R.R. Yager (ed.), Fuzzy Sets and Possibility Theory.Pergamon Press. New York. 1982. P.61-67.[36] A.M. Norwich and I.B. Turksen, "Stochastic Fuzziness", in: M.M. Gupta and E.E. Sanches (eds.), Fuzzy Information and Decision Processes. North Holland, Amsterdam. 1982. 13-22.[37] A.M. Norwich and I.B. Turksen, "A Model for the Measurement of Membership and the Consequences of its Empirical Implementation", Fuzzy Sets and Systems. 1984. 12. P.1-25.[38] G. Resconi and I.B. Turksen, “Canonical Forms of Fuzzy Truthoods by Meta-Theory Based Upon Modal Logic”, Information Sciences. 2001.[39] J.G. Shanahan, Soft Computing for Knowledge Discovery: Introducing Cartesian Granule Features. Kluwer. Boston. 2000.[40] R. Slowinski and M. Hapke, Scheduling Under Fuzziness, Physica-Verlag, Hiedelbeg.2000.[41] I.B. Turksen, "Theories of Set and Logic with Crisp or Fuzzy Information Granules", J.of Advanced Computational Intelligence. 1999. 3. 4. 264-273.[42] I.B. Turkeen, "Computing with Descriptive and Veristic Words: Knowledge Representation and Reasoning", in: Computing With Words. P.P. Wang(ed.). Wiley. New York. 2001. (to appear).[43] P.P. Wang(ed.), Computing With Words. Wiley. New York.2001. (to appear).[44] L.A. Zadeh, "Frequency Analysis of Variable Networks", Proc.of IRE. 1950. P.291-299.[45] L.A. Zadeh and J. R.Ragazzini, "An Extension of Wieners Theory of Prediction", J. Appl.Phys. 1950.21. P.645-655.[46] L.A. Zadeh and J. R.Ragazzini, "The Analysis of Sampled-Data Systems", Applications and Industry (AIEE).1952.1. P.224-234.[47] L.A. Zadeh and C.A. Desoer, "Linear System Theory-The State Space Approach", Mc Graw-Hill. New York. (1963).[48] L.A. Zadeh, "Fuzzy Sets", Information and Control Systems. 1965.Vol. 8. P.338-353.[49] L.A. Zadeh, "Probability Measures of Fuzzy Events", J. Math. Analysis and Appl. 1968.10. P.421-427[50] L.A. Zadeh, K-S Fu, K. Tanaka, M. Shimura, "Fuzzy Sets and Their Applications to Cognitive and Decision Progresses", Academic Press. New York. 1975.[51] L.A. Zadeh, "The Concept of a Linguistic Variable and its Application to Approximate Reasoning", Part 1, 2, and 3, Information Sciences. 1975.8. 199-249. 301-357 and 1976.9. P.43-80.[52] L.A. Zadeh, "Fuzzy Sets as a Basis for a Theory of Possibility", Fuzzy Sets and Systems. 1978. P.3-28.[53] L.A. Zadeh, "A Theory of Approximate Reasoning", in J. Hay, D. Michie, and L.I. Mirkulich (eds) Machine Intelligence, Halstead Press, New York. 1979. V.9.149-194.[54] L.A. Zadeh, "The Role of Fuzzy Logic in the Management of Uncertainty in Expert Systems", Fuzzy Sets and Systems. 11. 1983. P.199-227.[55] L.A. Zadeh, "A Theory of Common Sense Knowledge", in H.J. Skala, S. Termini, and E. Trillas (eds), Aspects of Vagueness, Dodrecht: D.Riedel. 1984. P.257-296.[56] L.A. Zadeh, "Syllogistic reasoning in Fuzzy Logic and its Application to Usuality and Reasoning with Dispositions", IEEE-Trans.SMC. 1985.15. P.754-763.[57] L.A. Zadeh and J. Kacprzyk (eds), "Fuzzy Logic for the Management of Uncertainty", John Wiley and Sons, New York.1992.[58] L.A. Zadeh, "Fuzzy Logic = Computing With Words", IEEE-Trans on Fuzzy Systems. 1996.4. 2. 103-111.[59] L.A. Zadeh, "From Computing with Numbers to Computing with Words-From Manipulation of Measurements to Manipulation of Perceptions", IEEE-Trans on Curciuts and Systems. 1999.45. P.105-119.[60] L.A. Zadeh, "Toward a Perception-Based Theory of Probabilistic Reasoning", Key note address; Fourth International Conference on Applications of Fuzzy Systems and Soft Computing, June 27-29, Siegen, Germany. 2000.[61] H.J. Zimmermann, "Fuzzy Programming and Linear Programming with Several Objective Functions". FSS. 1978.1. P.45-55.[62] H.J. Zimmermann, Fuzzy Sets, Decision Making, and Expert Systems, Kluwer, Boston. 1987.[63] H.J. Zimmermann(ed.), Practical Applications of Fuzzy Technologies, Handbook of Fuzzy Set Series. Kluwer. Boston. 1999.48 ___________________http://chem.kstu.ru ______________ ©Химияикомпьютерноемоделирование. Бутлеровскиесообщения.2001. No. 4. 45.。

高二英语科学家名称单选题20题

高二英语科学家名称单选题20题

高二英语科学家名称单选题20题1.Who is known for his theory of relativity?A.NewtonB.EinsteinC.DarwinD.Galileo答案:B。

爱因斯坦以相对论闻名于世。

牛顿提出万有引力定律等;达尔文提出进化论;伽利略在天文学和物理学方面有重要贡献。

2.Which scientist is famous for his discovery of penicillin?A.FlemingB.PasteurC.CurieD.Bohr答案:A。

弗莱明因发现青霉素而闻名。

巴斯德在微生物学方面有重大贡献;居里夫人发现镭等放射性元素;玻尔在量子力学方面有重要成就。

3.Who is the scientist associated with the law of universal gravitation?A.EinsteinB.NewtonC.DarwinD.Hawking答案:B。

牛顿与万有引力定律相关。

爱因斯坦以相对论闻名;达尔文提出进化论;霍金在黑洞等领域有重要研究。

4.Which scientist is renowned for his work on evolution?A.NewtonB.DarwinC.EinsteinD.Fleming答案:B。

达尔文因在进化方面的工作而闻名。

牛顿提出万有引力定律等;爱因斯坦以相对论闻名;弗莱明发现青霉素。

5.Who is the scientist known for his research on black holes?A.HawkingB.EinsteinC.NewtonD.Darwin答案:A。

霍金以对黑洞的研究而闻名。

爱因斯坦以相对论闻名;牛顿提出万有引力定律等;达尔文提出进化论。

6.Who is known for making significant contributions to the field of agriculture in Asia?A.Yuan LongpingB.Albert EinsteinC.Thomas EdisonD.Isaac Newton答案:A。

Great-Expectation远大前程

Great-Expectation远大前程
Fortunately, he got an opportunity to inherit a fortune from a criminal he had helped before and to be well educated as a gentleman. He felt abashed of Joe and even looked down upon his old friends.
David Copperfield, by Charles Dickens (1850) Adventures of Huckleberry Finn, by Mark Twain (1884) The Picture of Dorian Gray, by Oscar Wilde (1890) Martin Eden, by Jack London (1909) Sons and Lovers, by D. H. Lawrence (1913)
The genre often features a main conflict between the main character and society.
Bildungsroman
Representatives:
The History of Tom Jones, a Foundling, by Henry Fielding (1749)
completely sympathetic characters in Great Expectations.
Great Expectations
Main Characters
Estella:
Miss Havisham’s tool to revenge all men Pip’s unattainable dream throughout the novel. indifferent, cruel, has no heart

2024全国高考真题英语汇编:阅读理解D篇

2024全国高考真题英语汇编:阅读理解D篇

2024全国高考真题英语汇编阅读理解D篇一、阅读理解(2024·浙江·高考真题)The Stanford marshmallow (棉花糖) test was originally conducted by psychologist Walter Mischel in the late 1960s. Children aged four to six at a nursery school were placed in a room. A single sugary treat, selected by the child, was placed on a table. Each child was told if they waited for 15 minutes before eating the treat, they would be given a second treat. Then they were left alone in the room. Follow-up studies with the children later in life showed a connection between an ability to wait long enough to obtain a second treat and various forms of success.As adults we face a version of the marshmallow test every day. We’re not tempted by sugary treats, but by our computers, phones, and tablets — all the devices that connect us to the global delivery system for various types of information that do to us what marshmallows do to preschoolers.We are tempted by sugary treats because our ancestors lived in a calorie-poor world, and our brains developed a response mechanism to these treats that reflected their value — a feeling of reward and satisfaction. But as we’ve reshaped the world around us, dramatically reducing the cost and effort involved in obtaining calories, we still have the same brains we had thousands of years ago, and this mismatch is at the heart of why so many of us struggle to resist tempting foods that we know we shouldn’t eat.A similar process is at work in our response to information. Our formative environment as a species was information-poor, so our brains developed a mechanism that prized new information. But global connectivity has greatly changed our information environment. We are now ceaselessly bombarded (轰炸) with new information. Therefore, just as we need to be more thoughtful about our caloric consumption, we also need to be more thoughtful about our information consumption, resisting the temptation of the mental “junk food” in order to manage our time most effectively.1.What did the children need to do to get a second treat in Mischel’s test?A.Take an examination alone.B.Share their treats with others.C.Delay eating for fifteen minutes.D.Show respect for the researchers.2.According to Paragraph 3, there is a mismatch between_______.A.the calorie-poor world and our good appetites B.the shortage of sugar and our nutritional needsC.the tempting foods and our efforts to keep fit D.the rich food supply and our unchanged brains 3.What does the author suggest readers do?A.Be selective information consumers.B.Absorb new information readily.C.Use diverse information sources.D.Protect the information environment.4.Which of the following is the best title for the text?A.Eat Less, Read More B.The Later, the BetterC.The Marshmallow Test for Grownups D.The Bitter Truth about Early Humans(2024·全国·高考真题)In the race to document the species on Earth before they go extinct, researchers and citizen scientists have collected billions of records. Today, most records of biodiversity are often in the form of photos, videos, and other digital records. Though they are useful for detecting shifts in the number and variety of species inan area, a new Stanford study has found that this type of record is not perfect.“With the rise of technology it is easy for people to make observations of different species with the aid of a mobile application,” said Barnabas Daru, who is lead author of the study and assistant professor of biology in the Stanford School of Humanities and Sciences. “These observations now outnumber the primary data that comes from physical specimens (标本), and since we are increasingly using observational data to investigate how species are responding to global change, I wanted to know: Are they usable?”Using a global dataset of 1.9 billion records of plants, insects, birds, and animals, Daru and his team tested how well these data represent actual global biodiversity patterns.“We were particularly interested in exploring the aspects of sampling that tend to bias (使有偏差) data, like the greater likelihood of a citizen scientist to take a picture of a flowering plant instead of the grass right next to it,” said Daru.Their study revealed that the large number of observation-only records did not lead to better global coverage. Moreover, these data are biased and favor certain regions, time periods, and species. This makes sense because the people who get observational biodiversity data on mobile devices are often citizen scientists recording their encounters with species in areas nearby. These data are also biased toward certain species with attractive or eye-catching features.What can we do with the imperfect datasets of biodiversity?“Quite a lot,” Daru explained. “Biodiversity apps can use our study results to inform users of oversampled areas and lead them to places — and even species — that are not well-sampled. To improve the quality of observational data, biodiversity apps can also encourage users to have an expert confirm the identification of their uploaded image.”5.What do we know about the records of species collected now?A.They are becoming outdated.B.They are mostly in electronic form.C.They are limited in number.D.They are used for public exhibition.6.What does Daru’s study focus on?A.Threatened species.B.Physical specimens.C.Observational data.D.Mobile applications.7.What has led to the biases according to the study?A.Mistakes in data analysis.B.Poor quality of uploaded pictures.C.Improper way of sampling.D.Unreliable data collection devices.8.What is Daru’s suggestion for biodiversity apps?A.Review data from certain areas.B.Hire experts to check the records.C.Confirm the identity of the users.D.Give guidance to citizen scientists.(2024·全国·高考真题)Given the astonishing potential of AI to transform our lives, we all need to take action to deal with our AI-powered future, and this is where AI by Design: A Plan for Living with Artificial Intelligence comes in. This absorbing new book by Catriona Campbell is a practical roadmap addressing the challenges posed by the forthcoming AI revolution (变革).In the wrong hands, such a book could prove as complicated to process as the computer code (代码) thatpowers AI but, thankfully, Campbell has more than two decades’ professional experience translating the heady into the understandable. She writes from the practical angle of a business person rather than as an academic, making for a guide which is highly accessible and informative and which, by the close, will make you feel almost as smart as AI.As we soon come to learn from AI by Design, AI is already super-smart and will become more capable, moving from the current generation of “narrow-AI” to Artificial General Intelligence. From there, Campbell says, will come Artificial Dominant Intelligence. This is why Campbell has set out to raise awareness of AI and its future now — several decades before these developments are expected to take place. She says it is essential that we keep control of artificial intelligence, or risk being sidelined and perhaps even worse.Campbell’s point is to wake up those responsible for AI-the technology companies and world leaders—so they are on the same page as all the experts currently developing it. She explains we are at a “tipping point” in history and must act now to prevent an extinction-level event for humanity. We need to consider how we want our future with AI to pan out. Such structured thinking, followed by global regulation, will enable us to achieve greatness rather than our downfall.AI will affect us all, and if you only read one book on the subject, this is it.9.What does the phrase “In the wrong hands” in paragraph 2 probably mean?A.If read by someone poorly educated.B.If reviewed by someone ill-intentioned.C.If written by someone less competent.D.If translated by someone unacademic.10.What is a feature of AI by Design according to the text?A.It is packed with complex codes.B.It adopts a down-to-earth writing style.C.It provides step-by-step instructions.D.It is intended for AI professionals.11.What does Campbell urge people to do regarding AI development?A.Observe existing regulations on it.B.Reconsider expert opinions about it.C.Make joint efforts to keep it under control.D.Learn from prior experience to slow it down.12.What is the author’s purpose in writing the text?A.To recommend a book on AI.B.To give a brief account of AI history.C.To clarify the definition of AI.D.To honor an outstanding AI expert.(2024·全国·高考真题)“I didn’t like the ending,” I said to my favorite college professor. It was my junior year of undergraduate, and I was doing an independent study on Victorian literature. I had just finished reading The Mill on the Floss by George Eliot, and I was heartbroken with the ending. Prof. Gracie, with all his patience, asked me to think about it beyond whether I liked it or not. He suggested I think about the difference between endings that I wanted for the characters and endings that were right for the characters, endings that satisfied the story even if they didn’t have a traditionally positive outcome. Of course, I would have preferred a different ending for Tom and Maggie Tulliver, but the ending they got did make the most sense for them.This was an aha moment for me, and I never thought about endings the same way again. From then on, if I wanted to read an ending guaranteed to be happy, I’d pick up a love romance. If I wanted an ending I couldn’t guess, I’d pick up a mystery (悬疑小说). One where I kind of knew what was going to happen, historical fiction. Choosingwhat to read became easier.But writing the end — that’s hard. It’s hard for writers because endings carry so much weight with readers. You have to balance creating an ending that's unpredictable, but doesn’t seem to come from nowhere, one that fits what’s right for the characters.That’s why this issue (期) of Writer’s Digest aims to help you figure out how to write the best ending for whatever kind of writing you’re doing. If it’s short stories, Peter Mountford breaks down six techniques you can try to see which one helps you stick the landing. Elizabeth Sims analyzes the final chapters of five great novels to see what key points they include and how you can adapt them for your work.This issue won’t tell you what your ending should be — that’s up to you and the story you’re telling — but it might provide what you need to get there.13.Why did the author go to Prof. Gracie?A.To discuss a novel.B.To submit a book report.C.To argue for a writer.D.To ask for a reading list.14.What did the author realize after seeing Gracie?A.Writing is a matter of personal preferences.B.Readers are often carried away by character.C.Each type of literature has its unique end.D.A story which begins well will end well.15.What is expected of a good ending?A.It satisfies readers’ taste.B.It fits with the story development.C.It is usually positive.D.It is open for imagination.16.Why does the author mention Peter Mountford and Elizabeth Sims?A.To give examples of great novelists.B.To stress the theme of this issue.C.To encourage writing for the magazine.D.To recommend their new books.(2024·北京·高考真题)Franz Boas’s description of Inuit (因纽特人) life in the 19th century illustrates the probable moral code of early humans. Here, norms (规范) were unwritten and rarely expressed clearly, but were well understood and taken to heart. Dishonest and violent behaviours were disapproved of; leadership, marriage and interactions with other groups were loosely governed by traditions. Conflict was often resolved in musical battles. Because arguing angrily leads to chaos, it was strongly discouraged. With life in the unforgiving Northern Canada being so demanding, the Inuit’s practical approach to morality made good sense.The similarity of moral virtues across cultures is striking, even though the relative ranking of the virtues may vary with a social group’s history and environment. Typically, cruelty and cheating are discouraged, while cooperation, humbleness and courage are praised. These universal norms far pre-date the concept of any moralising religion or written law. Instead, they are rooted in the similarity of basic human needs and our shared mechanisms for learning and problem solving. Our social instincts (本能) include the intense desire to belong. The approval of others is rewarding, while their disapproval is strongly disliked. These social emotions prepare our brains to shape our behaviour according to the norms and values of our family and our community. More generally, social instincts motivate us to learn how to behave in a socially complex world.The mechanism involves a repurposed reward system originally used to develop habits important for self-care. Our brains use the system to acquire behavioural patterns regarding safe routes home, efficient food gathering and dangers to avoid. Good habits save time, energy and sometimes your life. Good social habits do something similar in a social context. We learn to tell the truth, even when lying is self-serving; we help a grandparent even when it is inconvenient. We acquire what we call a sense of right and wrong.Social benefits are accompanied by social demands: we must get along, but not put up with too much. Hence self-discipline is advantageous. In humans, a greatly enlarged brain boosts self-control, just as it boosts problem-solving skills in the social as well as the physical world. These abilities are strengthened by our capacity for language, which allows social practices to develop in extremely unobvious ways.17.What can be inferred about the forming of the Inuit’s moral code?A.Living conditions were the drive.B.Unwritten rules were the target.C.Social tradition was the basis.D.Honesty was the key.18.What can we learn from this passage?A.Inconveniences are the cause of telling lies.B.Basic human needs lead to universal norms.C.Language capacity is limited by self-control.D.Written laws have great influence on virtues. 19.Which would be the best title for this passage?A.Virtues: Bridges Across Cultures B.The Values of Self-disciplineC.Brains: Walls Against Chaos D.The Roots of Morality参考答案1.C 2.D 3.A 4.C【导语】这是一篇说明文。

_the_fine_art_of_putting_things_off拖延的艺术译文

_the_fine_art_of_putting_things_off拖延的艺术译文

Unit 2Text I The Fine Art of Putting Things Off拖延的艺术迈克尔·德马雷斯特“今天能做的事情决不要推到明天。

”切斯特菲尔德伯爵在1794年劝告儿子说。

但是这位高雅德伯爵一直没有抽出时间来与孩子母亲举行婚礼,还有让约翰逊博士等名士在接待室久等的坏习惯。

这足以证明,用心最善之人亦可是拖沓之士。

罗马的一位大将军昆塔斯·费边·马克西姆斯为了有尽可能多的机会喝酒消闲,常常推迟战斗,被人起了“拖延者”的绰号;摩西不愿向法老传达耶和华的法令,便借口说自己语言有缺陷;当然哈姆雷特更是把拖延上升为一种艺术形式。

世上的人基本上可以平均地分成两类:拖延者和马上行动者。

有些人二月份九准备好交个人所得税,预先偿还抵押借款,按计划准时在常人难以忍受的六点半开饭;另一些人则乐于在九点或十点时吃些剩饭剩菜、错放账单和文件以期延长缴税的期限。

他们非要等到信用卡总部警告他们后果自负才肯去付信用卡上的帐。

就像浮士德遇见魔鬼一样,他们推迟去理发店、去看牙医或看医生。

尽管拖延会带来诸多不便,但拖延经常可以激发和唤醒具有创新意识的灵魂。

写下许多成功小说和剧本的作家琼·克尔说,她要把厨房里每个汤罐头和酱瓶子上的标签看上一遍后,才能安心地坐在打字机前。

许多作家都关注着他们任务之外的各种杂事,譬如,关注在缅因州法国人海湾和巴尔海港进行的海岸和土地测量,其中的地名,如古今斯暗礁、布伦特池塘、黑奥山、伯恩特豪猪、朗豪猪、希波豪猪以及鲍尔德豪猪岛,都激起了他们的想象。

从“拖延者”年代到本世纪,拖延的艺术实际上被军事基地“赶快、待命”)、外交和法律所垄断。

在过去,英国殖民地总督,面对当地人的起义,可以端着酒,安逸地思考民族叛乱的形式。

庆幸的是,他没有电传机在一旁喋喋不休地传递着命令,一会儿是增加机关枪啊,一会儿又是增派军队啊什么的。

直到二战时,美国将军还可以跟敌方将军达成协议,休一天运动假,去掠夺村民的鸡和酒,次日再战。

韦姆萨特《意图谬误》英文版TheIntentionalFallacy

韦姆萨特《意图谬误》英文版TheIntentionalFallacy

W.K.韦姆萨特和门罗·比尔兹利:意图谬误The Intentional Fallacy 1W . K . Wimsatt , Jr .Monroe BeardsleyIThe claim of the author's "intention" upon the critic's judgment has been challenged in a number of recent discussions, notably in the debate entitled The Personal Heresy[1939], between Professor Lewis and Tillyard. But it seems doubtful if this claim and most of its romantic corollaries are as yet subject to any widespread questioning. The present writers, in a short article entitled "Intention" for a Dictionary2 of literary criticism, raised the issue but were unable to pursue its implications at any length. We argued that the design or intention of the author is neither available nor desirable as a standard for judging the success of a work of literary art, and it seems to us that this is a principle which goes deep into some differences in the history of critical attitudes. It is a principle which accepted or rejected points to the polar opposites of classical "imitation" and romantic expression. It entails many specific truths about inspiration, authenticity, biography, literary history and scholarship, and about some trends of contemporary poetry, especially its allusiveness. There is hardly a problem of literary criticism in which the critic's approach will not bequalified by his view of "intention"."Intention", as we shall use the term, corresponds to what he intended in a formula which more or less explicitly has had wide acceptance. "In order to judge the poet's performance, we must know what he intended." Intention is design or plan in the author's mind. Intention has obvious affinities for the author's attitude towards his work, the way he felt, what made him write.We begin our discussion with a series of propositions summarized and abstracted to a degree where they seem to us axiomatic.1. A poem does not come into existence by accident. The words of a poem, as Professor Stoll has remarked, come out of a head, not out of a hat. Y et to insist on the designing intellect as a cause of a poem is not to grant the design or intention as a standard by which the critic is to judge the worth of the poet's performance.2. One must ask how a critic expects to get an answer to the question about intention. How is he to find out what the poet tried to do? If the poet succeeded in doing it, then the poem itself shows what he was trying to do. And if the poet did not succeed, then the poem is not adequate evidence, and the critic must go outside the poem—for evidence of an intention that did not become effective in the poem. "Only one caveat must be borne in mind," says an eminent intentionalist 3 in a moment when his theory repudiates itself; "the poet's aim must be judged at themoment of the creative act, that is to say, by the art of the poem itself".3. Judging a poem is like judging a pudding or a machine. One demands that it work. It is only because an artifact works that we infer the intention of an artificer. "A poem should not mean but be." A poem can be only through its meaning—since its medium is words—yet it is, simply is, in the sense that we have no excuse for inquiring what part is intended or meant. Poetry is a feat of style by which a complex of meaning is handled all at once. Poetry succeeds because all or most of what is said or implied is relevant; what is irrelevant has been excluded, like lumps from pudding and "bugs" from machinery. In this respect poetry differs from practical messages, which are successful if and only if we correctly infer the intention. They are more abstract than poetry.4. The meaning of a poem may certainly be a personal one, in the sense that a poem expresses a personality or state of soul rather than a physical object like an apple. But even a short lyric poem is dramatic, the response of a speaker (no matter how abstractly conceived) to a situation (no matter how universalized ). We ought to impute the thoughts and attitudes of the poem immediately to the dramatic speaker, and if to the author at all, only by an act of biographical inference.5.There is a sense in which an author, by revision, may better achieve his original intention. But it is a very abstract sense. He intended to write a better work, or a better work of a certain kind, and now hasdone it. But it follows that his former concrete intention was not his intention, "He's the man we were in search of, that's true," says Hardy's rustic constable, "and yet he's not the man we were in search of. For the man we were in search of was not the man we wanted.""Is not a critic," asks Professor Stoll, "a judge, who does not explore his own consciousness, but determines the author's meaning or intention, as if the poem were a will, a contract, or the constitution? The poem is not the critic's own." He has accurately diagnosed two forms of irresponsibility, one of which he prefers. Our view is yet different. The poem is not the critic's own and not the author's (it is detached from the author at birth and goes about the world beyond his power to intend about it or control it). The poem belongs to the public. It is embodied in language, the peculiar possession of the public, and it is about the human being, an object of public knowledge. What is said about the poem is subject to the same scrutiny as any statement linguistics or in the general science of psychology.A critic of our Dictionary article, Ananda K. Coomaraswamy, has argued that there are two kinds of inquiry about a work of art: (1) whether the artist achieved his intentions; (2) whether the work of art "ought ever to have been undertaken at all" and so "whether it is worth preserving". Number (2), Coomaraswamy maintains, is not "criticism of any work of art qua work of art", but is rather moral criticism; number (1) is artisticcriticism. But we maintain that (2) need not be moral criticism: that there is another way of deciding whether works of art are worth preserving and whether, in a sense, they "ought" to have been undertaken, and this is the way of objective criticism of works of art as such, the way which enables us to distinguish between a skilful murder and a skilful poem. A skilful murder is an example which Coomaraswamy uses, and in his system the difference between murder and the poem is simply a "moral" one, not an "artistic" one, since each if carried out according to plan is "artistically" successful. We maintain that (2) is an inquiry of more worth than (1), and since (2) and not (1) is capable of distinguishing poetry from murder, the name "artistic criticism" is properly given to (2).IIIt is not so much a historical statement as a definition to say that the intentional fallacy is a romantic one. When a rhetorician of the first century A. D. writes: "Sublimity is the echo of a great soul", or when he tells us that "Homer enters into the sublime actions of his heroes" and "shares the full inspiration of the combat", we shall not be surprised to find this rhetorician considered as a distant harbinger of romanticism and greeted in the warmest terms by Saintsbury. One may wish to argue whether Longinus should be called romantic, but there can hardly be adoubt that in one important way he is.Goethe's three questions for "constructive criticism" are "What did the author set out to do? Was his plan reasonable and sensible, and how far did he succeed in carrying it out?" If one leaves out the middle question, one has in effect the system of Croce 4—the culmination and crowning philosophic expression of romanticism. The beautiful is the successful intuition expression, and the ugly is the unsuccessful; the intuition or private part of art is the aesthetic fact, and the medium or public part is not the subject of aesthetic at all.The Madonna of Cimabue is still in the Church of Santa Maria Novella; but does she speak to the visitor of today as to the Florentines of the thirteenth century?Historical interpretation labours. . . to reintegrate in us the psychological conditions which have changed in the course of history.It. . . enables us to see a work of art (a physical object) as its author saw it in the moment of production.5The first italics are Croce's, the second ours. The upshot of Croce's system is an ambiguous emphasis on history. With such passages as apoint of departure a critic may write a nice analysis of the meaning or "spirit" of a play by Shakespeare or Corneille—a process that involves close historical study but remains aesthetic criticism—or he may, with equal plausibility, produce an essay in sociology, biography, or other kinds of non-aesthetic history.IIII went to the poets; tragic, dithyrambic, and all sorts. . . I took them some of the most elaborate passages in their own writings, and asked what was the meaning of them. . . Will you believe me?. . . there is hardly a person present who would not have talked better about their poetry than they did themselves. Then I knew that not by wisdom do poets write poetry, but by a sort of genius and inspiration.That reiterated mistrust of the poets which we hear from Socrates may have been part of a rigorously ascetic view in which we hardly wish to participate, yet Plato's Socrates saw a truth about the poetic mind which the world no longer commonly sees—so much criticism, and that the most inspirational and most affectionately remembered, has proceeded from the poets themselves.Certainly the poets have had something to say that the critic andprofessor could not say; their message has been more exciting: that poetry should come as naturally as leaves to a tree, that poetry is the lava of the imagination, or that it is emotion recollected in tranquillity. But it is necessary that we realize the character and authority of such testimony. There is only a fine shade of difference between such expressions and a kind of earnest advice that authors often give. Thus Edward Y oung , Thomas Carlyle, Walter Pater 6:I know two golden rules from ethics, which are no less golden in Composition, than in life. 1. Know thyself. 2. Reverence thyself. This is the grand secret for finding readers and retaining them: let him who would move and convince others, be first moved and convinced himself. Horace's rule, Si vis me flere, is applicable in a wider sense than the literal one. To every poet to every writers, we might say: Be true, if you would be believed.Truth! there can be no merit, no craft at all, without that. And further, all beauty is in the long run only fineness of truth, or what we call e-xpression, the finer accommodation of speech to that vision within.And Housman's little handbook to the poetic mind yields this illustration:Having drunk a pint of beer at luncheon —beer is a sedative to the brain, and my afternoons are the least intellectual portion of my life—I wouldgo out for a walk of two or three hours. As I went along, thinking of nothing in particular, only looking at things around me and following the progress of the seasons, there would flow into my mind, with sudden and unaccountable emotion, sometimes a line or two of verse, sometimes a whole stanza at once.This is the logical terminus of the series already quoted. Here is a confession of how poems were written which would do as a definition of poetry just as well as "emotion recollected in tranquility"—and which the young poet might equally well take to heart as a practical rule. Drink a pint of beer, relax, go walking, think on nothing in particular, look at things, surrender yourself to yourself, search for the truth in your own soul, listen to the sound of your own inside voice, discover and express the vraie vérité ["true truth"].It is probably true that all this is excellent advice for poets. The young imagination fired by Wordsworth and Carlyle is probably closer to the verge of producing a poem than the mind of the student who has been sobered by Aristotle or Richards. The art of inspiring poets, or at least of inciting something like poetry in young persons, has probably gone further in our day than ever before. Books of creative writing such as those issued from the Lincoln School are interesting evidence of what a child can do.7 All this, however, would appear to belong to an art separate from criticism—to a psychological discipline, a system ofself-development, a yoga, which the young poet perhaps does well to notice, but which is something different from the public art of evaluating poems.Coleridge and Arnold were better critics than most poets have been, and if the critical tendency dried up the poetry in Arnold and perhaps in Coleridge, it is not inconsistent with our argument, which is that judgment of poems is different from the art of producing them. Coleridge has given us the classic "anodyne" story, and tells what he can about the genesis of a poem which he calls a "psychological curiosity", but his definitions of poetry and of the poetic quality "imagination" are to be found elsewhere and in quite other terms.It would be convenient if the passwords of the intentional school, "sincerity", "fidelity", "spontaneity", "authenticity", "genuineness", "originality", could be equated with terms such as "integrity", "relevance", "unity", "function", "maturity", "subtlety", "adequacy", and other more precise terms of evaluation —in short, if "expression" always meant aesthetic achievement. But this is not so."Aesthetic" art, says Professor Curt Ducasse, an ingenious theorist of expression, is the conscious objectification of feelings, in which an intrinsic part is the critical moment. The artist corrects the objectification when it is not adequate. But this may mean that the earlier attempt was not successful in objectifying the self, or "it may also mean that it was asuccessful objectification of a self which, when it confronted us clearly, we disowned and repudiated in favour of another". What is the standard by which we disown or accept the self? Professor Ducasse does not say. Whatever it may be, however, this standard is an element in the definition of art which will not reduce to terms of objectification. The evaluation of the work of art remains public; the work is measured against something outside the author.IVThere is criticism of poetry and there is author psychology, which when applied to the present or future takes the form of inspirational promotion; but author psychology can be historical too, and then we have literary biography, a legitimate and attractive study in itself, one approach, as Professor Tillyard would argue, to personality, the poem being only a parallel approach. Certainly it need not be with a derogatory purpose that one points out personal studies, as distinct from poetic studies, in the realm of literary scholarship. Y et there is danger of confusing personal and poetic studies; and there is the fault of writing the personal as if it were poetic.There is a difference between internal and external evidence for the meaning of a poem. And the paradox is only verbal and superficial thatwhat is (1) internal is also public: it is discovered through the semantics and syntax of a poem, through our habitual knowledge of the language, through grammars, dictionaries, and all the literature which is the source of dictionaries, in general through all that makes a language and culture; while what is (2) external is private or idiosyncratic; not a part of the work as a linguistic fact: it consists of revelations (in journals, for example, or letters or reported conversations) about how or why the poet wrote the poem—to what lady, while sitting on what lawn, or at the death of what friend or brother. There is ( 3 ) an intermediate kind of evidence about the character of the author or about private or semi-private meanings attached to words or topics by an author or by a coterie of which he is a member. The meaning of words is the history of words, and the biography of an author, his use of a word, and the associations which the word had for him, are part of the word's history and meaning. 8 But the three types of evidence, especially (2) and (3), shade into one another so subtly that it is not always easy to draw a line between examples, and hence arises the difficulty for criticism. The use of biographical evidence need not involve intentionalism, because while it may be evidence of what the author intended, it may also be evidence of the meaning of his words and the dramatic character of his utterance. On the other hand, it may not be all this. And a critic who is concerned with evidence of type (1) and moderately with that of type (3) will in the long run produce adifferent sort of comment from that of the critic who is concerned with (2) and with (3) where it shades into (2).The whole glittering parade of Professor Lowes' Road to Xanadu, for instance, runs along the border between types (2) and (3) or boldly traverses the romantic region of (2). "'Kubla Khan'," says Professor Lowes, "is the fabric of a vision, but every image that rose up in its weaving had passed that way before. And it would seem that there is nothing haphazard or fortuitous in their return." This is not quite clear—not even when Professor Lowes explains that there were clusters of associations, like hooked atoms, which were drawn into complex relation with other clusters in the deep well of Coleridge's memory, and which then coalesced and issued forth as poems. If there was nothing "haphazard or fortuitous" in the way the images returned to the surface, that may mean (1) that Coleridge could not produce what he did not have, that he was limited in his creation by what he had read or otherwise experienced, or (2) that having received certain clusters of associations, he was bound to return them in just the way he did, and that the value of the poem may be described in terms of the experiences on which he had to draw. The latter pair of propositions (a sort of Hartleyan associationism which Coleridge himself repudiated in the Biographia) may not be assented to. There were certainly other combinations, other poems, worse or better, that might have been written by men who had read Bartram andPurchas and Bruce and Milton. And this will be true no matter how many times we are able to add to the brilliant complex of Coleridge's reading. In certain flourishes (such as the sentence we have quoted) and in chapter headings like "The Shaping Spirit", "The Magical Synthesis", "Imagination Creatrix", it may be that Professor Lowes pretends to say more about the actual poems than he does. There is a certain deceptive variation in these fancy chaptertitles; one expects to pass on to a new stage in the argument, and one finds—more and more sources, more and more about "the streamy nature of association"."Wohin der Weg?" quotes Professor Lowes for the motto of his book. "Kein Weg! Ins Unbetretene." Precisely because the way is unbetreten, we should say, it leads away from the poem. Bartram's Travels contain a good deal of the history of certain words and of certain romantic Floridian conceptions that appear in "Kubla Khan". And a good deal of that history has passed and was then passing into the very stuff of our language. Perhaps a person who has read Bartram appreciates the poem more than one who has not. or, by looking up the vocabulary of "Kubla Khan" in the Oxford English Dictionary, or by reading some of the other books there quoted, a person may know the poem better. But it would seem to pertain little to the poem to know that Coleridge had read Bartram. There is a gross body of life, of sensory and mental experience, which lies behind and in some sense causes every poem, but can never beand need not be known in the verbal and hence intellectual composition which is the poem. For all the objects of our manifold experience, for every unity, there is an action of the mind which cuts off roots, melts away context—or indeed we should never have objects or ideas or anything to talk about.It is probable that there is nothing in Professor Lowes' vast book which could detract from anyone's appreciation of either "The Ancient Mariner" or "Kubla Khan". We next present a case where preoccupation with evidence of type (3) has gone so far as to distort a critic's view of a poem (yet a case not so obvious as those that abound in our critical journals).In a well-known poem by John Donne ["A V alediction: Forbidding Mourning"] appears this quatrain:Moving of th' earth brings harmes and feares,Men reckon what it did and meant,But trepidation of the spheares,Though greater farre, is innocent.A recent critic in an elaborate treatment of Donne's learning haswritten of this quatrain as follows:He touches the emotional pulse of the situation by a skilful allusion to the new and the old astronomy. . . Of the new astronomy, the "moving of the earth" is the most radical principle; of the old, the "trepidation of the spheres" is the motion of the greatest complexity. . . The poet must exhort his love to quietness and calm upon his departure; and for this purpose the figure based upon the latter motion (trepidation) , long absorbed into the traditional astronomy, fittingly suggests the tension of the moment without arousing the "harmes and feares" implicit in the figure of the moving earth.The argument is plausible and rests on a well substantiated thesis that Donne was deeply interested in the new astronomy and its repercussions in the theological realm. In various works Donne shows his familiarity with Kepler's De Stella Nova, with Galileo's Siderius Nuncius, with William Gilbert's De Magnete, and with Clavius' commentary on the De Sphaera of Sacrobosco. He refers to the new science in his Sermon at Paul's Cross and in a letter to Sir Henry Goodyer. In the First Anniversary he says the "new philosophy calls in doubt". In the Elegy on Prince Henryhe says that the "least moving of the centre" makes "the world to shake".It is difficult to answer argument like this, and impossible to answer it with evidence of like nature. There is no reason why Donne might not have written a stanza in which the two kinds of celestial motion stood for two sorts of emotion at parting. And if we become full of astronomical ideas and see Donne only against the background of the new science, we may believe that he did. But the text itself remains to be dealt with, the analysable vehicle of a complicated metaphor. And one may observe: (1) that the movement of the earth according to the Copernican theory is a celestial motion, smooth and regular, and while it might cause religious or philosophic fears, it could not be associated with the crudity and earthiness of the kind of commotion which the speaker in the poem wishes to discourage; (2) that there is another moving of the earth, an earthquake, which has just these qualities and is to be associated with the tear-floods and sigh-tempests of the second stanza of the poem; (3) that "trepidation" is an appropriate opposite of earthquake, because each is a shaking or vibratory motion; and "trepidation of the spheres" is "greater far" than an earthquake, but not much greater (if two such motions can be compared as to greatness) than the annual motion of the earth; (4) that reckoning what it "did and meant" shows that the event has passed, like an earthquake, not like the incessant celestial movement of the earth. Perhaps a knowledge of Donne's interest in the new science may addanother shade of meaning, an overtone to the stanza in question, though to say even this runs against the words. To make the geocentric and heliocentric antithesis the core of the metaphor is to disregard the English language, to prefer private evidence to public, external to internal.VIf the distinction between kinds of evidence has implications for the historical critic, it has them no less for the contemporary poet and his critic. or, since every rule for a poet is but another side of a judgment by a critic, and since the past is the realm of the scholar and critic, and the future and present that of the poet and the critical leaders of taste, we may say that the problems arising in literary scholarship from the intentional fallacy are matched by others which arise in the world or progressive experiment.The question of "allusiveness", for example, as acutely posed by the poetry of Eliot, is certainly one where a false judgment is likely to involve the intentional fallacy. The frequency and depth of literary allusion in the poetry of Eliot and others has driven so many in pursuit of full meanings to the Golden Bough and the Elizabethan drama that it has become a kind of commonplace to suppose that we do not know what a poet means unless we have traced him in his reading—a suppositionredolent with intentional implications. The stand taken by F. O. Matthiessen is a sound one and partially forestalls the difficulty.If one reads these with an attentive ear and is sensitive to their sudden shifts in movement, the contrast between the actual Thames and the idealized vision of it during an age before it flowed through a megalopolis is sharply conveyed by that movement itself, whether or not one recognizes the refrain to be from Spenser.Eliot's allusions work when we know them—and to a great extent even when we do not know them, through their suggestive power.But sometimes we find allusions supported by notes, and it is a nice question whether the notes function more as guides to send us where we may be educated, or more as indications in themselves about the character of the allusions. "Nearly everything of importance. . . that is apposite to an appreciation of 'The Waste Land'," writes Matthiessen of Miss Weston's book [From Ritual to Romance], "has been incorporated into the structure of the poem itself, or into Eliot's notes." And with such an admission it may begin to appear that it would not much matter if Eliot invented his sources (as Sir Walter Scott invented chapter epigraphs from"old plays" and "anonymous" authors, or as Coleridge wrote marginal glosses for The Ancient Mariner). Allusions to Dante, Webster, Marvell, or Baudelaire doubtless gain something because these writers existed, but it is doubtful whether the same can be said for an allusion to an obscure Elizabethan:The sound of horns and motors, which shall bringSweeney to Mrs Porter in the spring."Cf. Parliament of Bees," says Eliot,When of a sudden, listening, you shall hear,A noise of horns and hunting, which shall bringActaeon to Diana in the spring,Where all shall see her naked skin.The irony is completed by the quotation itself; had Eliot, as is quite conceivable, composed these lines to furnish his own background, there would be no loss of validity. The conviction may grow as one reads Eliot's next note: "I do not know the origin of the ballad from which these lines are taken: it was reported to me from Sydney, Australia." The important word in this note—on Mrs Porter and her daughter who washed their feet in soda water—is "ballad". And if one should feel from the lines。

英语打卡何凯文每日一句05

英语打卡何凯文每日一句05

英语打卡何凯⽂每⽇⼀句05Hi,我是胖嘟~今天你学习了吗考研英语每⽇⼀句让学习变得更有效别忘了评论区留⾔打卡今⽇句⼦今天的句⼦:The act has fostered tremendous advances, in large part through a greater understanding of the biology that underlies the disease. But cancer research still faces challenges, not all of them scientific. Many therapies are too expensive for individuals or health-care systems: in the United States, 42% of people with cancer experienced severe financial hardship within two years of diagnosis, and, in many countries, innovative cancer therapies such as immunotherapies are out of reach for the majority.思考题:The author thinks that greater understanding of biology __.A. can help solve financial challengesB.is insufficient for cancer issuesC.may bring out financial problemsD.failed to introduce improvements选好答案,下滑查看解析词汇突破:foster: 培养,带来tremendous advances:巨⼤的进步underlie:造成therapies:治疗⽅法diagnosis:诊断immunotherapies:免疫创新治疗⽅法(超纲词,不⽤背)insufficient:不⾜,不充分!(重点词汇!必须记住!)句⼦解析:黄⾊是主⼲(如果有宾语从句就⽤蓝⾊单独标记)红⾊是定语绿⾊是状语紫⾊是同位语第⼀句:The act has fostered tremendous advances,in large part through a greater understandingof the biology/ that underlies the disease.参考译⽂:该法案带来了巨⼤的进步,在很⼤程度上是通过深⼊了解疾病底层的⽣物学。

《数值分析》黄仿伦改编英文版课后习题答案

《数值分析》黄仿伦改编英文版课后习题答案

Answers for Exercises —Numerical methods using MatlabChapter 1P10 2. Solution (a) )(x g x = produces an equation 0862=+-x x . Solving it gives the roots 2=x and 4=x .Since 2)2(=g and 4)4(=g , thus, both 2=P and 4=P are fixed points of )(x g . (b) –(d) The iterative rule using )(x g is 22144n n n p p p ---=. The results for part (b)-(d) with starting value 9.10=p and 8.30=p are listed in Table 1.(e) Calculate values of x x g -='4)( at 2=x and 4=x .12)2(>='g , and 10)4(<='g .Since )(x g ' is continuous, there exists a number 0>δ such that1)(<'x g for all ]4,4[δ+δ-∈x .There also exists a number 0>λ such that1)(>'x g for all ]2,2[λ+λ-∈x .Therefore, 4=p is an attractive fixed point. The sequence generated by22144n n n p p p ---=with starting value 8.30=p converges to 4=p . 2=p is a repelling fixed point. The sequence generated by 22144n n n p p p ---=with starting value 9.10=p does not converge to 2=p .P11 4. Find the fixed point for )(x g : )(x g x = gives 2±=p . Find the derivative: 12)(+='x x g .Evaluate )2(-'g and )2(g ': 3)2(-=-'g , 5)2(='g .Both 2-=p and 2=p gives 1)(>'p g . There is no reason to find the solution(s)using the fixed-point iteration.P11 6. Proof ))(()()(010112p p g p g p g p p -ξ'=-=-)()()( 0101p p K p p g -<-ξ'≤P214. False position method: Assume that ],[n n b a contains the root. The equation of the secand line through ))(,(n n a f a and ))(,(n n b f b is )()()()(n nn n n n b x a b a f b f b f y ---=-. Itintersects x -axise at)()())((n n n n n n n a f b f a b b f b c ---= (Eq. 1.36, p18)1981.0)6.1()(,4907.0)4.2()(00-=-==-=f b f f a f ,8301.1)()())((0000000-=---=a f b f a b b f b c ;Since 0095.0)(0-=c f , then ]8301.1,4.2[],[11--=b a . Similarly, we have1.84093- 1=c , ]1.84093- ,4.2[],[22-=b a 1.84139- 2=c , ]1.84139- ,4.2[],[33-=b a -1.841403=c10. Bisection method: Assume that ],[n n b a contains the root. Then 2nn n b a c +=. (a) 1587.1)4(,4;1425.0)3(,300==-==f b f a , then 5.30=c .Since 03746.0)5.3()(0>==f c f , then ]5.3,3[],[11=b a .Similarly, we can obtain ,,,321c c c . The results are listed in Table 3.The values of tan(x) at midpoints are going to zero while the sequence converges(b) Since 0)3tan(<=, there exist a root in )3,1(..0-=, 055741425.1tan(>)1The results using Bisection method are listed in Table 4.Although the sequence converges, the values of tan (x) at midpoints are not going to zero.P36 2. 3)(2--=x x x f has two zeros 2131±=x . (3028.2,3028.121≈-≈x x ) The first derivative of 3)(2--=x x x f is 12)(-='x x f .The Newton-Raphson iterative function is 123)()()(2-+='-=x x x f x f x x g . The Newton-Raphson formula is 12321-+=+n nn p p p , ,2,1,0=n . The results are listed in Table 5 with starting value p 0=1.6 and p 0=0.0 respectively.Obviously, the sequence generated by the starting value p 0=0.0 does not converge.11. Use Newton-raphson method to solve 0)(3=-=A x x f .The derivative of )(x f is 23)(x x f ='.3232)()()(223x Ax x A x x f x f x x g +=+='-=.Newton-Raphoson formula is 32211--+=n n n p Ap p , ,2,1=n .Since 3A p = is a zero of A x x f -=3)( and 10332)(33<=⎥⎦⎤⎢⎣⎡-='=Ap x A p g ,The sequence generated by the recursive formula 32211--+=n n n p Ap p will converge to3A p = for any starting value ],[330δδ+-∈A A p , where 0>δ.·Answers for Exercises —Numerical methods using MatlabChapter 2P44 2. Solution The 4th equation yields 24=x .Substituting 24=x to the 3rd equation gives 53=x .Substituting both 24=x and 53=x to the 2nd equation produces 32-=x . 21=x is obtained by sustituting all 32-=x , 53=x and 24=x to the 1st equation. The value of the determinant of the coefficient matrix is 115573115=⨯⨯⨯=D .4. Proof (a) Calculating the product of the two given upper-triangular matrices gives⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡++++=⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡=33333323232222223313231213112212121111113323221312113323221312110000b a b a b a b a b a b a b a b a b a b a b b b b b b a a a a a a B A . It is also an upper-triangular matrix.(b) Let N N ij a A ⨯=)( and N N ij b B ⨯=)( where 0=ij a and 0=ij b when j i >.Let N N ij c B A C ⨯==)(. According to the definition of product of the two matrices, we have ∑==Nk kjik ij b ac 1for all N j i ,,2,1, =.0=ij c when j i > because 0=ij a and 0=ij b when j i >.That means that the product of the two upper-triangular matrices is also upper triangular.5. Solution From the first equation we have 31=x .Substituting 31=x to the second equation gives 22=x .13=x is obtained from the third equation and 14-=x is attained from the last equation.The value of the determinant of the coefficient is 243)1(42)det(-=⨯-⨯⨯=A7. Proof The formula of the back substitution for an N N ⨯upper-triangular system is N NN a b x =and kkNk j jkj k k a x a b x ∑+=-=1 for 1,,2,1 --=N N k .The process requiresN N=+++111 divisions, 22)1()1(212NN N N N -=-=-+++ multiplications, and2)1(212NN N -=-+++ additions or subtractions.P53 1. Solution Using elementary transformations for the augmented matrix gives330012630464275101263046425232103514642],[3231213121⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡--−−→−⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡---−−−→−⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡--=++-+-r r r r r r B AThat means that ⎪⎩⎪⎨⎧=++=++-=-+523 1035 4642321321321x x x x x x x x x is equivalent to⎪⎩⎪⎨⎧==+-=-+33 1263 4642332321x x x x x x The set of solutions is .3,2,1123-===x x x11. Solution Using the algorithm of Gaussian Elimination gives12420010324050110700211242001032409013270021],[212⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡----−−−→−⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡--=+-r r B A ⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡------−−→−+1242001032005011070021324r r ⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡------−−→−+21000103200501107002143r r The set of solutions of the system is obtained by the back substitutions,3,2,2234==-=x x x and .11=x(Chasing method for solving tridiagonal linear systems)14. (a) (i) Solution Applying Gaussian elimination with partial pivoting to the augment matrix results in⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡---−−→−⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡---=↔1100320001.0101001.01003001.010030001.010*******],[31r r B A ⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡--−−→−⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡--−−→−↔+-+-00043.03333.43019933.996667.630001.0100319933.996667.63000043.03333.430001.01003 3231213231r r r r r r ⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡---−−−−→−+-6806.00625.680019933.996667.630001.01003326667.633333.43r rThe set of solutions is,101.0524,0100.0-623⨯==x x and .105.2400 -61⨯=x15. Solution The N N ⨯Hilbert matrix is defined byN N ij H H ⨯=)( where 11-+=j i H ij for N j i ≤≤,1.(a) The inverse of the 44⨯ Hilbert matrix is⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡--------=-280042001680140420064802700240168027001200120140240120161H The exact solution is T X )140,240,120,16(--=.(b) The solution is T X )0881.185,0628.310,6053.149,7308.18(--=.>>1 H is ill-conditioned. A miss is as good as a mile. (失之毫厘,谬以千里)P62 5 (a) Solving B LY = gives TY )2,12,6,8(-=. From Y UX = we have TX )2,1,1,3(-=. The product of A and X is TAX )4,10,4,8(--=.That means B AX =(b) Similarly to the part (a), we haveTY )1,12,6,28(=, TX )1,2,1,3(=, and B AX T==)4,23,13,28(.6. ⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡---=175.113011*********L , ⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡-----=5.70001040085304011UP72 7. (a) Jacobi Iterative formula is ()⎪⎪⎩⎪⎪⎨⎧-+=+-=++-=+++)()()1()()()1()()()1(226141358k k k k k k k k k y x z z x y z y x for ,2,1,0=kResults for ),,()()()(k k k k z y x P =’, ,3,2,1=k are listed in Table 2.1 with starting value )0,0,0(0=P .The numerical results show that Jacobi iteration does not converge.(b) Gauss-Seidel Iterative formula is()⎪⎪⎩⎪⎪⎨⎧-+=+-=++-=++++++)1()1()1()()1()1()()()1(226141358k k k k k k k k k y x z z x y z y x for ,2,1,0=kResults ),,()()()(k k k k z y x P =’, ,3,2,1=k are listed in Table 2.2 with starting value )0,0,0(0=P ’Reasons:Conside the eigenvalues of iterative matricesSplit the coefficient matrix ⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡----=612114151A into three matrices⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡-⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡---⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡-=--=000100150012004000600010001U L D A .The iterative matrix of Jacobi iteration is⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡--=⎥⎥⎥⎦⎤⎢⎢⎢⎣⎡----⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡=+=-061311041500121041506100010001)(1U L D T JThe spectral raduis of J T is 16800.5)(>=ρJ T . )1176.0,4546405880(i . .-±=λ’ So Jacobi method doesnot converge.Similarly, the iterative matrix of Gauss-Seidel iteration is⎥⎥⎥⎥⎦⎤⎢⎢⎢⎢⎣⎡--=-=-65503200150)(1U L D T G .The spectral radius of G T is 2532.19)(=ρG T >1. )0866.0,2532.19,0(-=λ’ So Gauss-Seidel method does not converge.8. (a) Jacobi Iterative formula is()⎪⎩⎪⎨⎧-+=-+=+-=+++6/225/)8(4/)13()()()1()()()1()()()1(k k k k k k k k k y x z z x y z y x for ,2,1,0=k ),,()()()(k k k k z y x P =’ for 10,,2,1 =k are listed in Table 2.3 with starting value )0,0,0(0=P .Jacobi iteration converges to the solution (3, 2, 1)’(b) Gauss-Seidel iterative formula is()⎪⎪⎩⎪⎪⎨⎧+---=+---=+-=++++++)1()1()1()()1()1()()()1(22614/)8(4/)13(k k k k k k k k k y x z z x y z y x for ,2,1,0=k ),,()()()(k k k k z y x P =’ for 10,,2,1 =k are listed in Table 2.4 with starting value )0,0,0(0=PGauss-Seidel iteration converges to the solution (3, 2, 1)’Answers for Exercises —Numerical methods using MatlabChapter 3P99 1. Solution (a) The nth order derivative of )sin()(x x f = is )2sin()()(π+=n x x f n .Therefore, !5!3)(535x x x x P +-=, !7!5!3)(7537x x x x x P -+-= and !9!7!5!3)(97539x x x x x x P +-+-=.(b) Estimating the remainder term gives71091075574.2!101!10)5sin()(-⨯≤≤π+=x c x E for 1≤x .(c) Substituting 4π=x to )2sin()()(π+=n x x f n gives ,22)4()4(,22)4()4()3(-=π=π''=π'=πf f f f and 22)4()4()5()4(-=π=πf f .By using Taylor polynomial we have!5)4(22!4)4(22!3)4(22!2)4(22)4(2222)(54325π-+π-+π--π--π-+=x x x x x x P P108 1. (a) Using th e Horner ’s method to find )4(P givesSo )4(P =1.18.(b) From part (a) we have 12.002.002.0)(2-+-=x x x Q . )4()4(Q P =' can be also obtained byusing Horner ’s method.So )4(P '=-0.36 Another method:Hence, P(4)=-0.36.(c) Find )4(I and )1(I firstly.Then=-=⎰)1()4()(41I I dx x P 4.3029.(d) Use Horner ’s method to evaluate P (5.5)Hence, P (5.5)=0.2575.(d) Let 012233)(a x a x a x a x P +++=. There are 4 coefficients needed to found.Substituting four known point ),(i i y x , i =1, 2, 3, 4, into )(x P gives four linear equations with unknowni a , i =1, 2, 3, 4.54.10123=+++a a a a 5.12480123=+++a a a a 42.139270123=+++a a a a 66.05251250123=+++a a a aThe coefficients can be found by solving this linear system: .66.1,2.0,1.0,02.00123=-==-=a a a aP120 1. The values of f (x ) at the given points are listed in Table 3.1:(a) Find the Lagrange coefficient polynomials and 010)(0,1x x x L -=---=.1101)(1,1+=++=x x x LThe interpolating polynomial is x x L f x L f x P =+-=)()0()()1()(1,10,11. (b) ),(21)11()1()(20,2x x x x x L -=----=,110)1)(1()(21,2x x x x L -=--+=),(212)1()(22,2x x x x x L +=+=x x L f x L f x L f x P =++-=)()1()()0()()1()(2,21,20,22. (c) ),2)(1(61)21)(11()2)(1()(0,3---=-------=x x x x x x x L),2)(1)(1(21)20)(10)(10()2)(1)(1()(1,3--+=--+--+=x x x x x x x L),2)(1(21)21(1)11()2()1()(2,3-+-=-+-+=x x x x x x x L),1)(1(61)12(2)12()1()1()(3,3-+=-+-+=x x x x x x x L33,32,31,30,33)()2()()1()()0()()1()(x x L f x L f x L f x L f x P =+++-=(d) ,2212)(0,1x x x L -=--=,1121)(0,1-=--=x x x L 67)()2()()1()(1,10,11-=+=x x L f x L f x P . (e) ),23(21)20)(10()2)(1()(20,2+-=----=x x x x x L ),2()21(1)2()(21,2x x x x x L --=--=),(21)12(2)1()(20,2x x x x x L -=--=.23)()2()()1()()0()(22,21,20,22x x x L f x L f x L f x P -=++=7. (a) Note that each Lagrange polynomial )(,2x L k is of degree at most 2 and )(x g is a combination of)(,2x L k . Hence )(x g is also a polynomial of degree at most 2.(b) For each k x , 2,1,0=k , the Lagrange coefficient polynomial 1)(,2=k k x L , and 0)(,2=k j x L for k j ≠, 2,1,0=j . Therefore, 01)()()()(2,21,20,2=-++=k k k k x L x L x L x g .(c) )(x g is a polynomial of degree 2≤n and has n ≥ 3 zeroes. According to the fundamental theorem of algebra, 0)(=x g for all x .9. Let )()()(x P x f x E N N -=. )(x E N is a polynomial of degree N ≤.)(x f is degree with )(x P N at N +1 points N x x x ,,,10 implies that )(x E N has N +1 zeroes. Therefore, 0)(=x E N for all x , that is, )()(x P x f N = for all x .P131 6. (a) Find the divided-difference table:(b) Find the Newton polynomials with order 1, 2, 3 and 4.)0.1(80.16.3)(1--=x x P , )0.2)(0.1(6.0)0.1(80.160.3)(2--+--=x x x x P ,)0.3)(0.2)(0.1(15.0)0.2)(0.1(6.0)0.1(80.16.3)(3------+--=x x x x x x x P , )0.4)(0.3)(0.2)(0.1(03.0 )0.3)(0.2)(0.1(15.0)0.2)(0.1(6.0)0.1(80.16.3)(4----+------+--=x x x x x x x x x x x P .(c)–(d) The results are listed in Table 3.2P143 6. x x x T 32)(323-=, ]1,1[-∈x .The derivative of )(3x T is 323)(223-⋅='x x T . 0)(3='x T yields 21±=x . Evaluating )(3x T at 21±=x and 1±=x gives 1)1(3-=-T , 1)21(3=-T , 1)21(3-=T and 1)1(3=T .Therefore, 1))(max(3=x T , 1))(min(3-=x T .10. When 2=N , the Chebyshev nodes are ,23)6/5cos(0-=π=x ,01=x and 23)6/cos(2=π=x .Calculating the Lagrange coefficient polynomials based on 210,,x x x can produce the following results:,323)232(23)23()(20,2x x x x x L +-=⨯-⨯--=,341)23(23)23()23()(21,2x x x x L -=-⨯-+=.32323232)23()(22,2x x x x x L +=⨯⨯+=The proof is finished.Answers for Exercises —Numerical methods using MatlabChapter 4P157 1(a). Solution The sums for obtaining Normal equations are listed in Table 4.1The normal equations are ,710=A 135=B . Then ,7.0=A 6.2=B .The least-squares line is 6.27.0+=x y .2449.0)((51)(215122=⎪⎪⎭⎫ ⎝⎛-=∑=k k k x f y f EP158 4. Proof Suppose the linear-squares line is B Ax y += where A and B satisfiesthe Normal equations ∑∑===+N k k Nk ky xAB N 11and ∑∑∑====+Nk k k N k k N k k y x x A x B 1121.y y N x A B N N B x N A B x A N k k Nk k N k k ==⎪⎪⎭⎫ ⎝⎛+=+⎪⎪⎭⎫ ⎝⎛=+∑∑∑===111111 meas thatthe point ),(y x lies on the linear-squares line B Ax y +=.5. First eliminating B on the Normal equations∑∑===+Nk k Nk k y x A B N 11and ∑∑∑====+Nk k k Nk k Nk k y x x A x B 1121gives⎪⎪⎭⎫ ⎝⎛-=∑∑∑===Nk k N k k N k k k y x y x N D A 1111 where 2112⎪⎪⎭⎫ ⎝⎛-=∑∑==N k k N k k x x N D . Substituting A into the first equation gets⎪⎪⎭⎫⎝⎛⎪⎪⎭⎫ ⎝⎛+-=∑∑∑∑∑=====Nk k Nk k N k k k N k k N k k y x N y x x y N D D B 12111111. Note that ∑∑∑∑∑∑∑∑========⎪⎪⎭⎫ ⎝⎛-=⎪⎪⎭⎫ ⎝⎛⎪⎪⎭⎫ ⎝⎛-=N k k N k k N k k N k k N k k N k k N k k Nk k y x N y x y x x N N y N D 12111212112111. Simplifying B gives⎪⎪⎭⎫ ⎝⎛-=∑∑∑∑====Nk k k N k k Nk k N k k y x x y x D B 111121.8(b). The sums needed in the Normal equations are listed in Table 4.26177.142==∑∑k kk x y x A )2(=M5606.063==∑∑kkkxy x B )3(=MHence, 26177.1x y = and 35606.0x y =.0.3594 )(51)(21512222=⎪⎪⎭⎫ ⎝⎛-=∑=k k k Ax y Ax E , 1.1649 )(51)(21512332=⎪⎪⎭⎫ ⎝⎛-=∑=k k k Bx y Bx E .26175.1x y =fits the given data better.P171 2(c). The sums for normal equations are listed in Table 4.3.Using the formula∑∑∑∑∑∑∑========++=++52545352515135125151512515k kk k k k k k k k kk k k ky x x A x B x C y x A xB Cproduces the system with unkowns A , B , and CSolving the obove system gives .6.0,1.0,5.2-=-==C B A The fitting curve is .6.01.05.22--=x x yP172 4. (a) Translate points in x-y plane into X-Y plane using y Y x X ln ,==. The results arelisted in Table 4.4.The Normal equationsgive the system .793410,110,22105=+-==+A C B A C ∑∑∑∑∑======+=+515125151515k kk k k k k k kk k Y X X A X B Y X A B .8648.0155,2196.455-=+=+A B A BThen -0.50844=A , 1.3524=B . Thus 866731.3524.e e C B ===.The fitting curve is xe .y 50844.086673-=, and 1190.0)((51)(215122=⎪⎪⎭⎫ ⎝⎛-=∑=k k k x f y f E .(b) Translate points in x-y plane into X-Y plane using yY x X 1,==. The results are listed in Table 4.5.The Normal equationsgive the system Then 2432.0=A , 30280.0=B .The fitting curve is 30280.02432.01+=x y and 5548.4)((51)(215122=⎪⎪⎭⎫ ⎝⎛-=∑=k k k x f y f E .(c) It is easy to see that the exponential function is better comparing with errors in part (a) and part (b)..1620.5155,7300.255=+=+A B A B ∑∑∑∑∑======+=+515125151515k kk k k k k k kk k Y X X A X B Y X A BP188 1. (a) Derivativing )(x S gives 232132)(x a x a a x S ++='. Substituting the conditions intothe derivative pruduces the system of equations . 012428420321 32132103213210⎪⎪⎩⎪⎪⎨⎧=++=+++=++=+++a a a a a a a a a a a a a a (b) Solving the linear system of equations in (a) gives 29,,12,63210-==-==a a a a . The cubic polynomial is 3229126)(x x x x S -+-=.Figure: Graph of the cubic polynomial4. Step 1 Find the quantities: 3,1210===h h h , 21/)20(/)(0010-=-=-=h y y d13/)03(/)(1121=-=-=h y y d , 6667.03/)31(/)(2232-=-=-=h y y d18)(6011=-=d d u , 10)(6122-=-=d d uStep 2 Use ⎪⎪⎩⎪⎪⎨⎧-'-=⎪⎭⎫ ⎝⎛++'--=+⎪⎭⎫⎝⎛+))((3232))((32232322211100121110d x S u m h h m h x S d u m h m h h to obtain the linear system⎩⎨⎧-=+=+0001.155.1032135.72121m m m m .The solutions are 5161.2,8065.321-==m m . Step 3 Compute 0m and 3m using clamaped boundary.4.90322))((310000-=-'-=m x S d h m , 2.92482))((322323=--'=md x S h m Step 4 Find the spline coefficients16)2(,210001,000,0-=+-===m m h d s y s , 1.45166,-2.45162013,002,0=-===h m m s m s ;-1.54856)2(,021111,110,1=+-===m m h d s y s , -0.35136,1.903321123,112,1=-===h m m s m s ;0.38716)2(,332221,220,2=+-===m m h d s y s , 0.30236,-1.258122233,222,2=-===h m m s m s ;Step 5 The cubic spline is320)3(4516.1)3(4516.2)3(2)()(+++-+-==x x x x S x S for 23-≤≤-x ,321)2(3513.0)2(903.1)2(5484.1)()(+-+++-==x x x x S x S for 12≤≤-x , and322)1(3023.0)1(2581.1)1(3871.03)()(-+---+==x x x x S x S for 41≤≤x .5. Calculate the quantities: 3,1210===h h h , 20-=d ,11=d , 6667.02-=d ,181=u , 102-=u . ( Same values as Ex. 4)Substituting }{j h , }{j d and }{j u into ()()⎩⎨⎧=++=++22211112111022u m h h m h u m h m h h gives ⎩⎨⎧-=+=+1012318382121m m m mSolve the linear equation to obtain .5402.1,8276.221-==m m In addition, .030==m m Use formula (4. 65) to find the spline coefficients:4713.26)2(,210001,000,0-=+-===m m h d s y s , 4713.06,020013,002,0=-===h m m s m s ;-1.05756)2(,021111,110,1=+-===m m h d s y s , -0.24276,4138.121123,112,1=-===h m m s m s ;8735.06)2(,332221,220,2=+-===m m h d s y s , 0856.06,7701.0-22233,222,2=-===h m m s m s .Therefore, 30)3(4713.0)3(4713.22)(+++-=x x x S , for 23-≤≤-x ;321)2(2427.0)2(4138.1)2(0575.1)(+-+++-=x x x x S , for 12≤≤-x322)1(0856.0)1(7701.0)1(8735.03)(-+---+=x x x x S for 41≤≤x .Answers for Exercises —Numerical methods using MatlabChapter 5P209 1(b). Solution LetThe result of using the trapezoidal rule with h =1 isUsing Simpson’s rule with h=1/2, we haveFor Simpson’s 3/8 rule with h=1/3, we obtainThe result of using the Boole’s rule with h=1/4 is4. Proof Integrate )(1x P over ],[10x x .110102012101)(2)(2)(xx x x x x x x h f x x h f dx x P -+--=⎰=)(210f f h +. The Quadrature formula )(2)(1010f f hdx x f x x +≈⎰is called the trapezoidal rule.6. Solution The Simpson ’s rule is)4(3)(21010f f f hdx x f x x ++≈⎰. It will suffice to apply Simpson ’s rule over the interval [0, 2] with the test functions32,,,1)(x x x x f = and 4,x . For the first four functions, since)1141(31212+⨯+==⎰dx , )2140(31220+⨯+==⎰xdx , )4140(3138202+⨯+==⎰dx x , )8140(314203+⨯+==⎰dx x , the Simpson ’s rule is exact. But for 4)(x x f =,)16140(3153224+⨯+≠=⎰dx x . .Therefore, the degree of precision of Simpson ’s rule is n =3.T he Simpson’s rule and the Simpson ’s 3/8 rule have the same degree of precision n =3.).4cos(1)(x e x f x -+=..f f f f h dx x f 3797691))1()0((21)(2)(1010=+=+≈⎰.9583190))1()5.0(4)0((61)4(3)(21010. f f f f f f h dx x f =++=++≈⎰.9869270 ))1()3/2(3)3/1(3)0(( 8/1 )33(83)(321010.f f f f f f f f hdx x f =+++=+++≈⎰.008761 ))1(7)4/3(32)2/1(12)4/1(32)0(7( 90/1 )73212327(452)(432101.f f f f f f f f f f hdx x f =++++=++++≈⎰P220 3(a) Solution When 3)(x x f =for 10≤≤x , ⎰+π=123912dx x x area .The values of 2391)(x x x g +=at 11 sample points (M =10) are listed in the Table 5.1:(i) Using the composite Trapezoidal rule ∑-=++=110)()()((2),(M k k M x g h x g x g hh g T , the computation is)9156.11084.16098.03719.01563.00710.00280.00081.00010.0(101)1623.30(201)101,(++++++++++=g T=)2160.4(101)1623.3(201+=0.1576+0.4216=0.5792.(ii) Using the composite Simposon ’s rule ∑∑-=--=+++=11121120)(34)(32)()((3),(M k k M k k M x g h x g h x g x g h h g S , the computation is)9156.16098.01563.00280.00010.0(304)1084.13719.00710.00081.0(302 )1623.30(301)101,(++++++++++=g S=)7106.2(304)5054.1(302 )1623.3(301++=0.5672.7. (a) Because the formula)2()1()0()(2102g w g w g w dt t g ++=⎰is exact for the three functions 1)(=t g ,x t g =)(, and 2)(x t g =, we obtain three equations with unkowns 0w , 1w , and 2w :2210=++w w w , 2221=+w w ,38421=+w w . Solving this linear system gives 310=w , 341=w and 312=w .Thus, ())2()1(4)0(31)(20g g g dt t g ++=⎰(b) Let ht x x +=0 and denote ,01h x x +=.202h x x +=Then the change of variable ht x x +=0 translates ],[20x x into [0, 2] and converts the integral expresion dx x f )( into dt ht x hf )(0+. Hence,()())()(4)(3)2()1(4)0(3)()()(21022002x f x f x f h g g g hdt t g h dt ht x f h dx x f x x ++=++==+=⎰⎰⎰. The formula ())()(4)(3)(21020x f x f x f hdx x f x x ++=⎰ is known as the Simpson ’s rule over ],[20x x .8(a).9(a).P234 1(a) Let 212sin )(x xx f +=. The Romberg table with three rows for ⎰+3212sin dx x xis given as follows:Where04191.0)02794.0(23)106sin 0(23))3()0((23)0()0,0(-=-=+=+==f f T R , 04418.0)5.113sin (5.1204191.0)5.1(5.12)0()1()0,1(2=++-=+==f T T R ,3800.0)25.215.4sin 75.015.1sin (75.0204418.0))25.2()75.0((75.02)1()2()0,2(22=++++=++==f f T T R , 07288.03)04191.0(04418.043)0,0()0,1(4)1()1,1(=--⨯=-==R R S R ,].6/,6/[],[ and cos )(Let ππ-==b a x x f have we , and cos )( ,sin )( Since Mab h x x f x x f -=-=''-='.10513/123/ )(12),(922-⨯<⨯⎪⎭⎫ ⎝⎛ππ≤''--=M c f h a b h f E T .1039.2/)( and )4375( 9.4374 So,4-⨯≈-==>M a b h M M ].6/,6/[],[ andcos )(Let ππ-==b a x x f ,cos )( ,sin )( , cos )( ,sin )( Since )4(x x f x x f x x f x x f =='''-=''-='.105123/1803/ )(180),(92)4(4-⨯<⨯⎪⎭⎫ ⎝⎛ππ≤--=M c f h a b h f E S havewe ,2 and M a b h -=.1027.92/)( and )565( 8.564 So,4-⨯≈-==>M a b h M M4919.0304418.03800.043)0,1()0,2(4)2()1,2(=-⨯=-==R R S R ,5198.0307288.04919.01615)1,1()1,2(16)2()2,2(=-⨯=-==R R B R ,2. Proof If L J T J =∞→)(lim , thenL LL J T J T J S J J =-=--=∞→∞→343)1()(4lim)(lim andL LL J S J S J B J J =-=--=∞→∞→151615)1()(16lim )(lim .9. (a) Let 78)(x x f =. 0)()8(=x f implies 4=K . Thus 256)4,4(=R .(b) Let 1011)(x x f =.0)()11(=x f implies 5=K . Thus 2048)5,5(=R .10. (a) Do variable translation t x =. Thendt t dt t t dx x tx ⎰⎰⎰=⋅===121122.That means the two integrals dx x ⎰1anddt t ⎰122have the same numerical value.(b) Let 22)(t t f = and x x g =)(.Use dt t R ⎰≈122)1,1( means that the truncation error is )()4(n f k ξ approximately.Note that 0)()3(=t f . It means )1,1(212R dt t =⎰.But for x x g =)(, 0)()(=x g n is not true for all ]1,0[∈x and any integer 0>n .Thus the Romberg sequence is faster for dt t ⎰122 than fordx x ⎰1even though they have the samenumerical value.P242 1 (a) Applying the change of variable 22ab x a b t ++-=to dt t ⎰256 givesdx x dt t x t ⎰⎰-+=+⋅==115125)1(66.Thus the two integrals are dt t ⎰256 anddx x ⎰-+⋅115)1(6equivalent.(b)315315311525)1(6)1(6)()1(66=-=-+++=≈+⋅=⎰⎰x x x x f G dx x dt t =0.0809 +58.5857=58.6667If using )(3f G to approximate the integral, The result is535055353115205)1(695)1(698)1(695)()1(66==-=-+++++=≈+⋅=⎰⎰x x x x x x f G dx x dt t64105.5965956.0000 98 0.0035 95=⨯+⨯+⨯=6. Analysis: The fact that the degree of precision of N -point Gauss-Legendra integration is 2N -1 impliesthat the error term can be represented in the form )()()2(c kf f E N N =.(a) Since dt t dx x tx ⎰⎰-+=+==117127)1(88, and ()0)1()8(7=+t implies 82=K . Thus =256)(4=f G .(b),)1(111111101210dt t dx x tx ⎰⎰-+=+==and ()0)1()11(10=+t implies 122=K .Thusdx x⎰21011=2048)(6=f G .7. The n th Legendre polynomial is defined by The first five polynomials areThe roots of them are same as ones in Table 5.8.11. The conditions that the relation is exact for the functions means the three equations:326.0 6.0 0)6.0( )6.0(2 3132111321=+=+-=++w w w w w w w Sloving the system gives 98 ,95 231===w w w . ))6.0((95)0(98))6.0((95)(212111f f f dx x f ++-≈⎰- is called three-point Gauss-Legendre rule.Answers for Exercises —Numerical methods using MatlabChapter 6P249 1. (a) Proof Differentiate 22)(2+-+=-t t Ce t y t .22)(-+-='-t Ce t y tSubstitute )(t y and )(t y ' into the right-hand side of the equation y t y -='2.side left )(22)22(side right 222='=-+-=+-+-=-=--t y t Ce t t Ce t y t t t(b) Solution Let y t y t f -=2),(. Then 1),(-=y t f y for any ),(y t .So, the Lipschitz constant is 1=L .()[],2,11!21)(1)(20=-⋅==n x dx d n x P x P nnn n n ()()()3303581)(3521)(1321)()(1)(244332210+-=-=-===x x x P x x P x x P x x P x P 2,,1)(x x x f =12 . Integrate both side of )(t f y =' over [a , b ]: ⎰⎰='=-babadt t f dt y a y b y )()()(.Then,)()()(a y b y dt t f ba-=⎰, where )(t y is the solution of the I. V . P)(t f y =', for b t a ≤≤ with 0)(=a y . That means that the definite integral⎰badt t f )( can becomputed using the two values )(a y and )(b y of the solution )(t y of the given I. V . P.. 14. Solution Separate the two variables of the equation 211t y +=' into the form dt tdy 211+=. Integrate dt tdy 211+=and yeild the general solution C t y +=arctan . The initial-value condition 0)0(=y means that 0=C . The solution for the I. V . P. is t y arctan =.P257 3. (a)-(c) The formula using Euler ’s method to solve the I. V . P. ty y -=', 1)0(=y canbe represented in the form k k k y ht y )1(1-=+. When 2.0=h and 1.0=h , the results are listed in Table 6.1.(d) The F. G . E. does decrease half approximatelly as expacted when h is halved.6. When 02.0=a , 00004.0=b and 10=h , the Euler ’s formula for 2bP aP P -=' is in the form210004.02.1k k k P P P -=+. With 1.760=P , the missing entries can be filled in the table.。

知识分子代表:论《一个青年艺术家肖像》中的

知识分子代表:论《一个青年艺术家肖像》中的

- 251 -校园英语 / 文艺研究知识分子代表:论《一个青年艺术家肖像》中的斯蒂芬·代达罗斯中国人民大学外国语学院/吴冰寒A Portrait of the Artist as a Young Man is Joyce ’s autobiographical novel based on the first twenty years of his life, set in Dublin in the late 19th century. Dedalus rebels against what he sees as the pervasive repressive influence of the Roman Catholic Church and the attitudes of his family and of Ireland itself. He leaves Ireland for France in order to fulfill the artistic promise inherent in his name. Instead of following “chronological continuity ” order, the whole novel progresses with the flow of the mind of Stephen Dedalus, the protagonist, Joyce ’s alter ego. Tracing Stephen Dedalus ’s spiritual growth from his infancy to his early manhood :how he breaks through all the nets flung on him, alienating himself from his family, society and the church and eventually acquiring the unfettered freedom in art his life ’s purpose, one can take the maturation of the hero as an odyssey of becoming, according to Julien Benda ’s definition, the “real intellectual ”. One who dares to speak out the truth, nonco-opted, ceaselessly pursue intellectual freedom. Needless to say, the process of Stephen ’s physical, metal maturity is accordance with his intellectual maturity.Stephen Dedalus is named after the Greek mythological character, a renowned craftsman and inventor, who devised a Labyrinth for King Minos of Crete but had himself imprisoned instead. In escaping from his own architectural masterpiece, Dedalus created wings of wax and feathers for himself and his son Icarus. By employing Dedalus as his protagonist ’s surname, Joyce tends to express what he writes on the aphorism before the novel “Et ignotas animum dimittit in artes ”, meaning in English “And he sets his mind to work upon unknown arts and chages the law of nature ”. The motto can be interpreted as James Joyce ’s artistic declaration, of which he gained from breaking with the ties and restraints from his family, his church and country.Stephen Dedalus is a “real intellectual ” and how he represents it from the aspects of his thinking mind, his non-conformism and his final choice of self-imposed exile.Stephen Dedalus :A Thinking MindA Portrait of the Artist as a Young Man is a novel centers on a thinking mind, his consciousness and sub-consciousness. Following the stream-of-consciousness of Stephen Dedalus, the chronological sequence of a series of happenings seems not thatimportant. It depicts in depth Stephen ’s moments of triumph and spiritual elevation being consistently followed by episodes of deflation. In those ups and downs, Stephen thinks and reflects on in depth everything around him anywhere and everywhere, increasingly reaching his intellectual maturity. If thinking is the preliminary of a latter gained critical spirit, consciously or unconsciously, becoming a critical intellectual is Stephen ’s fate.Stephen Dedalus :An Unco-opted IntellectualAs intellectuals own wilder, and at the same time, more specified knowledge in specific field, to govern a nation or lead a corporate, authorities need to co-opt those who serve for and be loyal to them. Stephen renounced the religious vocation and go to university pursuing, remaining outside the mainstream, unaccommodated, uncoopted, and resistant. The decision to turn from a religious vocation makes him realize that he is now free —free to pursue the pleasures of life through art. By rejecting director ’s offering, Stephen chose the loneliness, to stay away from the mainstream but remain true to his own heart.An Intellectual ’s Decision of Self-imposed ExileExile brings a feeling of being abandoned, loneliness and helplessness. It is the last thing an individual would like to be put into. “Exile is one of the saddest fates ... it not only meant years of aimless wandering away from family and familiar places, but also meant being a sort of permanent out cast, someone who never felt at home and always at odds with the environment, inconsolable about the past, bitter about the present and the future ”(47). In A Portrait of the Artist as a Young Man, by resisting all collective relationship and isolating himself from family, school, religion and nation, Stephen finds his own identity and finally compels him to choose to fly past their nets into a self-imposed exile. How courageous Stephen is. As for an intellectual, nothing can be more important than remaining intellectual integrity.References:[1]Joyce,James.A Portrait of the Artist as a Young Man.London: Wordsworth Edition Limited,1992.[2]W.Said.Representation of the Intellectual.New York:Pantheon Books,1994.Copyright©博看网 . All Rights Reserved.。

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QUOT FUNCTORS FOR DELIGNE-MUMFORD STACKS
MARTIN OLSSON AND JASON STARR
arXiv:math/0204307v1 [math.AG] 24 Apr 2002
Abstract. Given a separated and locally finitely-presented Deligne-Mumford stack X over an algebraic space S , and a locally finitely-presented OX -module F , we prove that the Quot functor Quot(F /X /S ) is represented by a separated and locally finitely-presented algebraic space over S . Under additional hypotheses, we prove that the connected components of Quot(F /X /S ) are quasi-projective over S .
Contents 1. Statement of Results 2. Representability by an algebraic space 3. Flattening stratifications 4. Hilbert Polynomials 5. Generating sheaves 6. Natural Transformation of Quot Functors References 1 2 8 11 13 18 20
Date : February 8, 2008.
1
2
OLSSON AND STARR
Remark: Under the hypothesis that F has proper support over S , we are not claiming that Q → S is proper, because we do not show that Q → S is quasi-compact (in general it need not be). We give a better description of Q under additional hypotheses on X . Our first hypothesis is that X is a global quotient. Definition 1.2. Let S be an algebraic space. A global quotient stack over S is an (Artin) algebraic stack X over S which is isomorphic to a stack of the form [Z/G], where Z is an algebraic space which is finitely-presented over S , and G is a flat, finitely-presented group scheme over S which is a subgroup scheme of the general linear group scheme GLn,S for some n. This is essentially [4, definition 2.9] (with the Noetherian hypotheses replaced by a finitepresentation hypothesis). We remind the reader of the following characterization in [4, remark 2.11]. Lemma 1.3. Suppose that X is a global quotient stack over S which is isomorphic to [Z/G] as above. Then the diagonal action of G on Z ×S GLn,S is free and the quotient Z ′ = [Z ×S GLn,S /G] is an algebraic space with a right action of GLn,S . The quotient stack [Z ′ /GLn,S ] is isomorphic to the original stack [Z/G]. So every quotient stack is isomorphic to a stack of the form [Z ′ /GLn,S ]. Our second hypothesis is that X is a tame Deligne-Mumford stack. Definition 1.4. A Deligne-Mumford stack X is tame if for any algebraically closed field k and any 1-morphism ζ : Spec k → X , the stabilizer group Aut(ζ )(Spec k ) has order prime to char(k ), where Aut(ζ ) is the finite k -group scheme defined to be the Cartesian product of the diagram Spec k (ζ,ζ ) X − − − → X × X. Here ∆ : X → X × X is the diagonal morphism. Theorem 1.5. Suppose that S is an affine scheme, and let f : X → S be a separated 1morphism from a tame Deligne-Mumford stack to S such that X is a global quotient over S and such that the coarse moduli space X of X is a quasi-projective S -scheme (resp. projective S -scheme). Then the connected components of Q are quasi-projective S -schemes (resp. projective S -schemes). Remark: The existence of the coarse moduli space for X follows from [7]. Remark: The condition that S be an affine scheme is required because the property of being quasi-projective is not Zariski local on the base. 2. Representability by an algebraic space In this section we prove theorem 1.1.
as follows. For each S -scheme f : Z → S , define XZ to be X ×S Z , and define FZ to be the pullback of F to XZ . We define Q(Z ) to be the set of OXZ -module quotients FZ → G which satisfy 1. G is a quasi-coherent OXZ -module which is locally finitely-presented, 2. G is flat over Z , 3. the support of G is proper over Z . All of these properties are preserved by base-change on Z , and therefore pullback makes Q into a contravariant functor. Theorem 1.1. Q is represented by an algebraic space which is separated and locally finitelypresented over S . If F has proper support over S , then Q → S satisfies the valuative criterion for properness.
1. Statement of Results Let p : X → S be a separated, locally finitely-presented 1-morphism from a DeligneMumford stack X to an algebraic space S . Let F be a quasi-coherent OX -module (on the ´ etale site of X ) such that F is locally finitely-presented. Define a contravariant functor Q = Q(F /X /S ) : S − schemes → Sets (1)

(2)
QUOT FUNCTORS FOR DELIGNE-MUMFORD STACKS

3
Note first that Q is a sheaf for the fppf-topology by descent theory, and is limit preserving. In addition, for each open substack U ⊂ X there is a natural open immersion Q(F |U /U /S ) ⊂ Q. Moreover, Q is the union over finitely presented open substacks U ⊂ X of the Q(F |U /U /S ). We may therefore assume that X is of finite presentation over S . Since the question of representability of Q is ´ etale local on S we may assume that S is an affine scheme, and by a standard limit argument we may assume that S is of finite type over Spec(Z). Under these assumptions we prove the theorem by verifying the conditions of theorem 5.3 of [2]. Commutation with inverse limits. We need the Grothendieck existence theorem for DeligneMumford stacks: Proposition 2.1. Let A be a complete noetherian local ring, X /A a Deligne-Mumford stack, +1 and let An = A/mn A , Xn = X ⊗A An . Then the natural functor (coherent sheaves on X with support proper over A) (compatible families of coherent sheaves on the Xn with proper support) is an equivalence of categories. Proof. This proposition is perhaps best viewed in a context of formal algebraic stacks, but since we do not want to develop such a theory here we take a more ad-hoc approach. etale Let X be the ringed topos (X0,et , OX ), where OX is the sheaf of rings which to any ´ X0 -scheme U0 → X0 associates lim ← − Γ(Un , OUn ). Here Un denotes the unique lifting of U0 to an ´ etale Xn -scheme. There is a natural morphism of ringed topoi j : X → Xet . If F is a sheaf of OX -modules, then we denote by F the sheaf j ∗ F . Note that the functor F → F is an exact functor. Lemma 2.2. If F and G are coherent sheaves on X with proper support over A, then for every integer n the natural map
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