RCB_RR

单纯形法整定pid参数,simulink环境,单纯形法很依赖初值的选取,在canshu.m中输入初始值。(Simplex method pid tuning parameters, simulink environment, simplex method is very dependent on the selection of initial value, in canshu.m enter the initial value.)

使用蚁群算法解决TSP问题的例子,包括城市的坐标 最大迭代次数 蚂蚁个数 表征信息素重要程度的参数 表征启发式因子重要程度的参数 信息素蒸发系数 信息素增加强度系数 各代最佳路线 各代最佳路线的长度 等参数(TSP problems ant colony algorithm)

MATLAB-SimMechanics机构动态仿真讲解教程(Dynamic simulation of MATLAB-SimMechanics bodies to explain the tutorial)

three dimensional fin equation and area changing

program to connect optiwave with matlab

《Matlab/Simulink通信系统建模与仿真实例分析》一书配套光盘，包含全部m文件、simulink模块等 (" Matlab/Simulink modeling and simulation of communication systems case study," a book companion CD contains all the m file, simulink module)

背景建模 前景提取 前景识别 matlab程序(Background modeling prospect identification matlab program to extract foreground)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

粒子滤波通过随机采样生成粒子，计算随机变量的后验分布(Particle filter generates particles by random sampling and calculates the posterior distribution of random variables.)

使用matlab求解方程的小资料，简单易用。(Solving equations using matlab small information, easy to use.)