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有约束最优化问题：利用matlab中已有的函数。举了一个利用里面函数求最小值的例子。这是最优化与运筹学中会经常遇到的问题(Constrained optimization problem: using the matlab existing function. For a use inside function minimise example. This was the optimized and operations research will often encounter problems )

its very important tool box so we need it so much and help us

使用matlab编写的图像特征提取软件，可对图像进行批量处理(Written using the image feature extraction matlab software, batch processing of images)

蚁群算法的MATLAB程序，提供变量初始化 C=[1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m=31 Alpha=1 Beta=5 Rho=0.9 Q=100 NC_max=200 (Ant colony algorithm of MATLAB procedures, initialize the variable C = [1304 2312 3639 1315 4177 2244 3712 1399 3488 1535 3326 1556 3238 1229 4196 1004 4312 790 4386 570 3007 1970 2562 1756 2788 1491 2381 1676 1332 695 3715 1678 3918 2179 4061 2370 3780 2212 3676 2578 4029 2838 4263 2931 3429 1908 3507 2367 3394 2643 3439 3201 2935 3240 3140 3550 2545 2357 2778 2826 2370 2975] m = 31 Alpha = 1 Beta = 5 Rho = 0.9 Q = 100 NC_max = 200 )

说明：  混沌性质识别判别程序，以duffing系统为例，有详细源代码(Chaotic nature of identification procedures for identifying,)

code for converting colored image to gray

C语言与MATLAB接口,将MATLAB写的仿真程序很方便地引入到自己的C语言应用程序之中.(MATLAB and C language interface MATLAB simulation program written in a very convenient way to introduce themselves to the C language application procedures.)

介绍Matlab在化工方面的数值计算应用，课件主要讲述化工领域非线性、线性方程组的解法，插值、拟合和常见常微分方程的解法。(Introduced in the chemical aspects of Matlab numerical computing applications, courseware mainly about the chemical field of nonlinear, solution of linear equations, interpolation, fitting, and common ordinary differential equation solution.)

source code for Viterbi Algorithm.

cohere(x,y,M) computes the coherence function using successive DFTs of length with a Hanning window and 50 overlap. (The window and overlap can be controlled via additional optional arguments.) We see a coherence peak at frequency cycles/sample, as expected, but there are also two rather large coherence samples on either side of the main peak. These are expected as well, since the true cross-spectrum for this case is a critically sampled Hanning window transform. (A window transform is critically sampled whenever the window length equals the DFT length.)