rectangularmash

源代码为作者在2012年9月参加的全国研究生数学建模 联合开发网 - pudn.com

it is a program to verify the persons depend on his own face

基于遗传算法的无功优化matlab实现方法软件包，调试基本通过，可直接下载应用，具体例子可以自己修改一下原代码(Based on Genetic Algorithm for Reactive Power Optimization method matlab package, debugging basic through direct download applications, specific examples can modify the original code)

异步电动机数量控制完整仿真模型，可以根据实际情况写该参数，达到研究者所需要的情形(The number of complete induction motor control simulation model, the parameter can be written according to the actual situation, the researchers needed to achieve the situation)

说明：  包含多个人工智能解决多目标优化算法的平台(Platform containing multiple artificial intelligence to solve multi-objective optimization algorithms)

matlab图像分割程序 手动和自动分割(matlab image segmentation procedures manual and automatic segmentation)

一维边值为0的微分方程，有限元方法逼近问题的解，给出误差的lebesgue模估计和能量估计。copy到命令窗口里运行即可。(solove one dimension ODE in FEM,and give error estimate)

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。 (Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value. )

利用MATLAB实现的两个语音的盲信号分离（BSS）~非常有用(MATLAB implementation of the two voice Blind signal separation (BSS) ~ very useful)

matlab模糊工具箱的使用教程 4步教你学会使用matlab模糊控制工具箱(matlab fuzzy toolbox in step 4 using the tutorial to teach you how to use fuzzy control toolbox matlab)