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森林火灾和气体扩散的matlab元胞自动机模拟(cellular Automata simulation)程序。(Forest fires and gas diffusion of matlab simulation of cellular automata (cellular Automata simulation) procedures.)

matlab常用程序的源代码，以及演示(matlab source code for common procedures, and presentation)

改进cholesky分解，在cholesky分解基础之上进行改进，不需要分解的矩阵正定条件(Improve the cholesky decomposition, cholesky decomposition in the basis for improvement, positive definite matrix conditions without decomposition)

关于交通流量的仿真，利用matlab编写的元胞自动机的仿真程序！很好玩哦！很棒哦！(On the traffic flow simulation, matlab prepared using cellular automata simulation program! Oh is a lot of fun! Oh great!)

包含dijkstra、Floyd、kruskal、动态规划、随机数生成等matlab程序 包含dijkstra、Floyd、kruskal、动态规划、随机数生成等matlab程序(Contains dijkstra, Floyd, kruskal, dynamic programming, random number generation, etc. matlab process consists of dijkstra, Floyd, kruskal, dynamic programming, random number generation and so on matlab program)

squrt prediction error and data base of waste paper plant and spe limit

FactorTutorial with some improvements to help in the examples. There is no answer here

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

matlab实现遗传算法，并绘出过程曲线(matlab implementation of genetic algorithm)

用matlab编程，，，实现连续属性离散化，，找出断点值(Matlab programming, and to realize the continuous attribute discretization, and find the breakpoint)