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超混沌系统的分岔图求解，内容详细易懂，可读性好(Hyperchaotic system to solve the bifurcation diagram, detailed easy to understand and readable)

基于Matlab的0_1背包问题的动态规划方法求解(Based on the Matlab 0_1 knapsack problem, dynamic programming method for solving)

详细介绍了在概率统计学中应用matlab,并且为初学者提供实力(Introduces in detail the application of probability statistics in MATLAB, and for beginners to provide strength )

DOA估计中总体最小二乘法的旋转子空间不变算法(A rotational subspace invariant algorithm for total least squares estimation in DOA estimation)

内容为哈尔滨工业大学MATLAB讲义，为ppt格式，方便大家学习交流。(Contents of Harbin Institute of Technology MATLAB lectures, in order to ppt format, to facilitate them to learn from the exchange.)

基于非列排序经济调度问题，比其它算法更好，收敛更好(Based on the column sorting economic scheduling problem, than other algorithms, convergence is better)

three level inverter

本源码为使用遗传算法解决函数极值问题的简单的小例子，新手一看就能懂(The source function for the use of genetic algorithm to solve the problem of the simple little extreme example, the novice can understand a look)

可生成从任意点发射攻击全球任意点的一条最小能量弹道，并确定关机点参数。(Can generate a minimum energy trajectory launch attacks from any point to any point worldwide, and to determine the shutdown point parameters.)

标准粒子群算法的实现思想基本按照粒子群算法(2) 标准的粒子群算法的讲述实现。主要分为3个函数。第一个函数为粒子群初始化函数 InitSwarm(SwarmSize......AdaptFunc)其主要作用是初始化粒子群的粒子，并设定粒子的速度、位置在一定的范围内。本函数所采用的数据结构如下所示： 表ParSwarm记录的是粒子的位置、速度与当前的适应度值，我们用W来表示位置，用V来代表速度，用F来代表当前的适应度值。在这里我们假设粒子个数为N，每个粒子的维数为D。(His thought of the implementation of the standard particle swarm algorithm according to the particle swarm algorithm (2)- the standard particle swarm algorithm about implementation. Mainly divided into three functions. The first function of particle swarm initialization function InitSwarm (SwarmSize... AdaptFunc), its main function is to initialize particle swarm particle, and set the particle s velocity, position in a certain range. The function of data structure is as follows: ParSwarm record table is the particle s position, speed and the current fitness value, we use W to represent the position, represented speed with a V, to represent the current fitness value with F. Here we assume that the number of particles N, each particle dimension for D.)