初始对准

用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)

包括了一个二维的方柱FDTD散射程序，入射波为TM模式，方柱无限长，等效为二维问题(Includes a two-dimensional square cylinder scattering FDTD procedures, incident for TM mode, infinite square cylinder, equivalent to two-dimensional problem)

利用BLT方程求解平面波对双线结构传输线的终端响应。(BLT equation for solving the plane wave transmission line on two-lane structure of the terminal response.)

不同接触模型下动力分析程序，对比了非线性Hertz及线性hertz接触下结果(Comparative analysis of the dynamic responses with different contact model )

迭代学习控制算法的matlab程序，单输入单输出的。(Iterative learning control algorithm matlab procedures, single-input single-output.)

使用matlab进行分位数回归，类似于R语言中的quanterg包(Quantile regression using MATLAB)

The following is an example of how Microsoft Solver Foundation can be used to solve a constraint satisfaction problem (CSP) like generating a typical Sudoku problem. Sudoku http://www.codeproject.com/Articles/419389/Sudoku-using-Microsoft-solver-foundation In this article I do not attempt to explain everything there is to know about constraint satisfaction problems, but I will go over the concepts in the hope that even if you have never heard of CSP you will still get the idea.

对互谱法被动测距的原理及算法各个环节进行仿真验证：加权最小二乘估计中权系数的选取；相关窗长度的选取；各频段综合方法等等。最后实现了对9000m—15000m距离的测距(Cross-spectral method for passive ranging all aspects of theory and algorithms for simulation: weighted least squares estimation of the right of the selection coefficient related to the length of the selection window an integrated approach to the various bands and so on. Finally realize the right of ranging from 9000m-15000m)

在计算流体力学中，多项流中有相变时，基于温度的相变UDF(Mass based on the temperature of the phase change in the UDF)

说明：  Delphi实现最小二乘法，进行多点拟合，目前支持4点拟合(Delphi realizes the least square method and multi-point fitting. At present, it supports four-point fitting.)