从MATLAB代码生成独立c语言代码
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Matlab 用help lsqcurvefit
MATLAB Coder可以从MATLAB代码生成独立的、可读性强、可移植的C/C++代码。
使用MATLAB Coder产生代码的3个步骤:准备用于产生代码的MATLAB算法;检查MATLAB 代码的兼容性(有些matlab代码语句并不能生成c/c++代码);产生最终使用的源代码或MEX。
利用MATLAB Coder生成c++代码,并在vs2008中验证:
一个简单的例子,两数相乘:
1、安装matlab2011a或者更新版本;
2、简单生成一个foo.m文件;
function c = foo(a, b)%#codegen
%This function muliplies a and b
c = a * b
其中,%#codegen可以防止出现警告错误
3、在命令窗口,输入mex -setpu,选中一个存在的编译器;
4、在命令窗口输入coder(图形界面),回车,弹出MATLAB Coder Project对话框;
5、在New选项卡Name中输入一个工程名foo.prj;点击Ok,弹出MATLAB Coder MEX Function 对话框;
6、在Overview选项卡中,点击Add files,弹出对话框,选中foo.m打开;
7、单击变量a,选择Define by Example…,弹出MATLAB Coder Define by Example对话框,在MATLAB Expression中输入5,点击OK;同样变量b也进行相应操作,输入6;
8、选中Build选项卡,Output type中选择c/c++ Static Library;选中Generate code only;
9、点击More settings,GeneralàLangu age选择C++;Interface选项中去掉所有选项;Close;
10、点击Build,进行编译;点击View report,弹出Code Generation Report对话框,此时,变量a、b、c会显示相应的变量信息;
11、利用vs2008建立一个控制台应用程序,将生成的相关文件foo.h、foo.cpp、rtwtypes.h、foo_types.h拷到相关目录下并添加到应用程序中;
12、在foo.cpp文件中添加#include “stdafx.h”;
13、test.cpp文件中代码为:
#include "stdafx.h"
#include "foo.h"
#include
using namespace std;
int _tmain(int argc, _TCHAR* argv[]) {
double a = 0.0, b = 0.0, c = 0.0;
cin>>a>>b;
c = foo(a, b);
cout<<"c = "< return 0; } 一个复杂的例子,求一个数的n次方根: 1、两个.m文件: nrt.m: function [nth_rt, iterations, hstry] = nrt(varargin)%#codegen %This function will use a Newton Search Technique to find %the nth root of a number, a, to the tolerance, tol. %The square root % nrt(10, 2), or nrt(10, 2, 1e-9) %The "n" root %nrt(10, n), or nrt(10, n, 1e-9) a = varargin{1}; n = varargin{2}; if nargin ~= 3 tol = 1e-9; else tol = varargin{3}; end if a < 0 iterations = 0; hstry = 0; else [nth_rt, hstry] = newtonSearchAlgorithm(a, n, tol); iterations = length(find(hstry ~= 0)); %iterations = sum(hstry ~= 0); end newtonSearchAlgorithm.m: function [x, h] = newtonSearchAlgorithm(b, n, tol) %#codegen %Given, "a", this function finds the nth root of a %number by finding where: x^n-a = 0 coder.inline('never'); %使其生成一个单独的c++文件notDone = 1; aNew = 0; %Refined Guess Initialization a = 1; %Initial Guess cnt = 0; h = zeros(50, 1); h(1) = a; while notDone [curVal, slope] = f_and_df(a, b, n); % square yint = curVal - slope * a; aNew = -yint / slope; %The new guess h(cnt) = aNew; if (abs(aNew-a) < tol) %Break if it's converged notDone = 0; elseif cnt > 49 %after 50 iterations, stop notDone = 0; aNew = 0; else a = aNew; end end x = aNew; function [f, df] = f_and_df(a, b, n) %Our function is f=a^n-b and it's derivative is n*a^(n-1). f = a^n-b; df = n*a^(n-1);