svm

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

用单纯形法解线性规划 根据单纯形法的原理，在线性规划问题中，决策变量（控制变量）x1，x2，…x n的值称为一个解,满足所有的约束条件的解称为可行解。使目标函数达到最大值（或最小值）的可行解称为最优解。这样，一个最优解能在整个由约束条件所确定的可行区域内使目标函数达到最大值（或最小值）。求解线性规划问题的目的就是要找出最优解。 (According to the principle of the simplex method, in linear programming problem, the decision variables (control variable) x1, x2,... X n value is called a solution, meet all of the constraint conditions of the solution of the called feasible solution. The objective function to achieve maximum (or minimum) feasible solution of the optimal solution is called. So, an optimal solution by constraint conditions throughout the feasible region determined the objective function to achieve maximum or minimum value). To solve the linear programming problem is to find out the purpose of the optimal solution. )

matlab的一些波束形成的算法 多种方法。。(the matlab the beamforming algorithm a variety of methods. .)

说明：  基于几何特征的三维模型数字水印算法研究 水印嵌入代码(Three-dimensional model based on geometric features of watermarking digital watermarking algorithm embed code)

fuzzy control adaptive fuzzy controller

matlab demudulation example

说明：  优秀的图优化算法，非常经典的matlab实现(Excellent map algorithm, very classic matlab implementation)

robocup 2d 仿真足球base代码(the robocup 2d simulation Soccer base code)

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Matlab的数理统计工具箱是Matlab工具箱中较为简单的一个，其牵扯的数学知识是大家都很熟悉的数理统计，因此在本文中，我们将不再对数理统计的知识进行重复，仅仅列出数理统计工具箱的一些函数，这些函数的意义都很明确，使用也很简单，为了进一步简明，本文也仅仅给出了函数的名称，没有列出函数的参数以及使用方法，大家只需简单的在Matlab工作空间中输入“help 函数名”，便可以得到这些函数详细的使用方法。(Mathematical Statistics Toolbox Matlab Matlab toolbox is a relatively simple one, it involves mathematical knowledge is the number of people are familiar with statistics, so in this article, we will no longer be on the knowledge of mathematical statistics to repeat, only lists Mathematical Statistics Toolbox functions that the meaning of these functions are very clear, very simple to use, in order to further condensed, this article only gives the name of the function, the parameters of the function is not listed, and the use of methods, we simply Enter the workspace in the Matlab " help function name" , it can be to use these functions in detail.)