planning-issues

this is A Fast Simple Genetic Algorithm matlab files.

这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单。(This program is the most basic particle swarm optimization procedures, using Matlab to achieve, is very simple.)

高光谱的MATLAB工具箱，可以参考一下，方便易用(Hyperspectral MATLAB toolbox, you can refer to, easy to use)

这是一个标准的基本粒子群算法，可以在此基础上加入fun函数完成解。(This is a standard basic particle swarm algorithm, which can be added fun function to complete the solution.)

这是一个简单的FFT为无电位1 +1 +1 Ð 薛定谔方程的光束传播方法。如果该软件灵活，允许引入的术语（如果是极少数需要包括色散效应高阶导数）。例如，如果一个人渴望解决的一个方程的形式： （四/ dz的+ Ð ^ 2/dx ^ 2 - 0.25 * Ð ^ 3/dx ^ 3）== 0 Ÿ 它可以解决使用以下代码： Ž = linspace（0,1,512） x = linspace（-5,5,1024） psi0 =进出口（- x的。^ 2） Ð = D_lateral1D（十，2）-0.25 * D_lateral1D（十，3） 字段= LinearBPM（psi0，有D，Z） 凡D_lateral1D是一个函数，提供“取代”的微分算子。 这个函数是在一个非线性的BPM，我曾对（分步，谱方法等），将提交给我，当我完成他们的文件和组织功能更复杂的设置非常初期阶段。 (This is a simple FFT based beam propagation method for potential-free 1+1+1D Schrodinger equation. The software if flexible and allows to introduce high-order derivatives in the term (very handful if is needed to include dispersion effects). For example, if one desires to solve an equation in the form: (d/dz+ d^2/dx^2- 0.25*d^3/dx^3)Y == 0 It can be solved using the following code: z=linspace(0,1,512) x=linspace(-5,5,1024) psi0=exp(-x.^2) D=D_lateral1D(x,2)-0.25*D_lateral1D(x,3) field=LinearBPM(psi0,D,z) Where D_lateral1D is a provided function that "replaces" the derivative operator. This function is a very early stage in a more complex set of non-linear BPM functions that I have made (split-step, spectral methods, etc.) and I will submit them when I finish their documentation and organization. Sorry for my English, I m eager for your comments. )

说明：  通过此程序实现对微装配的调用微动平台的实现(Achieve through this process called micro-assembly platform for the realization of micro-)

加窗快速傅里叶变化 比常规算法精度高 (Windowed fast Fourier transform algorithm for high accuracy than conventional)

代数重构算法，非常经典，典型的求解不适定问题的方法。。ART Algebraic reconstruction technique (Kaczmarz s method)(ART Algebraic reconstruction technique (Kaczmarz s method))

最速下降法，是数值分析中很重要的一种，源码为其在matlab中的实现。(Steepest descent method, numerical analysis is a very important one in the matlab source code for its realization.)

利用matlab编程实现音乐义勇军进行曲的演奏，已保存为m-文件，可直接运行(Using matlab programming Anthem playing music, saved for the m-file, can be directly run)