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清华大学运筹学课件，该课程也叫最优化理论与应用，而且包含了各种算法的matlab源代码(Tsinghua University, Operations Research courseware, the course is also called optimization theory and application, and contains a variety of algorithm matlab source code)

实现自适应滤波器的功能 并经过改进和优化(Implement an adaptive echo cancellation algorithm in C and download it to the TMS320C6713 DSP Starter Kit)

emd用MATLAB编程，用幻灯片演示，很形象直观(emd MATLAB programming, using slide shows, a very visual image)

matlab和stk交互的一个例子，其中建立了图形和图表(matlab and interact stk)

此为牛顿与拉格朗日插值算法的matlab程序，参照数值分析教程的公式编写，确定可用。(This is Newton and Lagrange interpolation algorithm matlab program, refer to numerical analysis tutorial to prepare the formula to determine the available.)

说明：  Matlab下生成最短路径的程序。首先在m脚本文件canshuo.m中输入节点个数和路径权重，在命令窗口中输入canshu，用s=12,e=10的格式输入要求的起止点，再输入main即可得到两点之间的路径和长度。(This is the codes for Matlab to generate the shortest way.)

matlab下filter程序，有脉冲响应法和双线性变换法生成filter，各参数有详细注释，有信号滤波前后的图形、频谱及相位对比。(Under filter matlab procedures, generate filter impulse response method and bilinear transformation method, various parameters are detailed notes, graphics, spectrum and phase contrast signal before and after filtering.)

一个关于最小二乘法的改进算法代码，编程语言为matlab(An improvement on the method of least squares algorithm code, the programming language for matlab)

matlab环境下的opf算法程序 简单易懂(opf simple algorithm program matlab environment to understand)

二次规划师非线性优化中的一种特殊情形，它的目标函数是二次实函数，约束函数都是线性函数。由于二次规划比较简单，便于求解（仅次于线性规划），并且一些非线性优化问题可以转化为求解一些列的二次规划问题，因此二次规划的求解方法较早引起人们的重视，称为求解非线性优化的一个重要途径。二次规划的算法较多，本文仅介绍求解等式约束凸二尺规划的拉格朗日方法以及求解一般约束凸二次规划的有效集方法。(Quadratic nonlinear optimization planners in a special case, its real objective function is a quadratic function, constraint functions are linear functions. Because of quadratic programming is relatively simple and easy to solve (after linear programming), and some non-linear optimization problem can be transformed into solving quadratic programming problems some columns, solving quadratic programming method therefore attracted attention earlier, saying an important way for solving nonlinear optimization. More quadratic programming algorithm, this paper describes only two feet Solving the Equality Constrained Convex Programming effective Lagrangian method and set method for solving general constrained convex quadratic programming.)