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1维等离子体FDTD的Matlab的两种方法(One-dimensional FDTD plasma of the two methods of Matlab)

基于递推公式的MATLAB切比雪夫级数程序，能计算N阶多项式(Based on the recursive formula MATLAB Chebyshev series program, we can compute N order polynomials.)

应用遗传算法做电网规划，把遗传算法应用于输电网络规划，提出了基于遗传算 法的输电网络规划模型，以新建线路的投资费用和系统年运 行费用之和最小为目标函数，建立了输电网络规划的数学模型。该模型还考虑了“N-1”事故检验，使得规划方案更加合理。以Garver-6节点系统为例进行优化规划(The application of genetic algorithms to do network planning)

DS证据理论的matlab实现，是数据挖掘的重要理论，可实现故障诊断。(Matlab implementation of DS evidence theory, data mining is an important theory, fault diagnosis can be achieved.)

this is mean shift one of image processing famous segmentation techniques, it is programmed in matlab

说明：  最小二乘一次完成算法，C语言编写，源码，调试通过。(A complete least-squares algorithm, C language, source code, debugging through.)

模拟二维BZ反应扩散模型，方法是用显式EULER法求解模型的偏微分方程组(Simulated two-dimensional BZ reaction-diffusion model, the method is to use explicit EULER method for solving partial differential equations model)

数值方法的5个重要的算法： 1.[Dirich.m] 求解拉普拉斯方程的狄利克雷方法. 用于偏微分方程的数值解 2.[Hamming.m] 汉明方法是用来修正微分方程的多步预测。 3. [Milne.m] 米尔恩 - 辛普森差分方程求解方法，用于预测校正方法。 4. [Rkf45.m]龙格 - 库塔 - 沃尔伯格错误控制和步骤的方法求解微分方程的近似解 5.[Romber.m]著名的龙贝格积分源代码。计算结果存在并显示为下三角矩阵。(Numerical Methods in five of the more important algorithms: 1. [Dirich.m] to solve the Laplace equation Dirichlet method for the numerical solution of partial differential equations 2.[Hamming.m] Hamming method is the multistep forecast corrected differential equations. 3. [Milne.m] the Milne- Simpson method as a differential equation solver used forecast correction method. 4. [Rkf45.m] Runge- Kutta- Wahlberg error control and step method for solving differential equations approximate solution 5. [Romber.m] the famous Romberg integral source code numerical integration, the presence of computable results show a lower triangular matrix.)

计算按频率抽取的基4快速傅里叶变换算法，与基2FFT相比，基4FFT的乘法量约减少25 。(Calculating frequency taken by fast Fourier transform algorithm base 4, compared with the base 2FFT the base 4FFT multiplication about 25 less.)

用追赶法来求解三对角线性方程组，解决数值分析问题，与大家共同学习。并且提供黄金分割法、高斯赛德尔迭代法求解数值分析问题(The catch-up method is used to solve tridiagonal linear equations, to solve numerical analysis problems, and to learn from you. The Golden Section Method and Gauss Seidel Iteration Method are also provided to solve numerical analysis problems.)