ANSYS-APDL-Examples

一篇配电系统可靠性入门文章，结合RBT算例，具体讲述可靠性分析的具体步骤(An Introduction to the article distribution system reliability, combined with RBT example, about the reliability of the analysis of specific concrete steps)

蝶型算法计算快速FFT的书上源码 亲测可用 该其中数值 可计算任意长度FFT(Butterfly Algorithms for Computing Fast FFT Book Source Codes The pro-test can be used to calculate FFT of arbitrary length.)

说明：  是一本系统讲解相控阵雷达数据处理的好书。主编：蔡庆宇(Is a system on Phased Array Radar Data Processing books. Editor-in-Chief:蔡庆宇)

VC界面风格的实现,这套代码实现了VC的整体框架,其界面功能风格都基本一致,你可在此基础上开发出自己需要的界面,()

说明：  资源分配的论文和相应的仿真程序，希望对大家做资源分配有所帮助！(Resource allocation papers and corresponding simulation program, want to help you make the allocation of resources!)

说明：  《深入浅出Python机器学习》源码 ipynb格式("Deep and Simple Python Machine Learning" Source Code ipynb Format)

这是一个关于单元平均恒虚警的程序，当做目标检测时，单元平均恒虚警检测非常有用！(this is a programm about CA-CFAR, u can use it to perform constant false alarm rate detection when needed.)

说明：  很不错的基础教程，英文版的，是文字排版，非扫描的，非常清晰。(Very good basic tutorial, the English version, text typesetting, non scanning, very clear.)

时间序列数据分析中的梅林变换工具，计算互信息非常有用的一组程序,针对EMD方法的不足。( Time series data analysis Mellin transform tool, Mutual information is useful to calculate a set of procedures, For lack of EMD.)

说明：  精通MATLAB最优化计算 配套光盘 本书的主要内容是应用MATLAB来解决最优化问题，通过将“最优化问题”、“MATLAB优化工具箱”和“MATLAB编程”这三方面有机结合进行讲述，即一方面是使用工具箱来快速解决最优化问题，另一方面是通过算法编程深入解决最优化问题。主要包括MATLAB优化工具箱、无约束多维极值问题、约束优化问题、非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化算法、遗传算法。 (The main contents of the book is the application of MATLAB to solve the optimization problem, by &quot optimization problem&quot , &quot MATLAB Optimization Toolbox&quot and &quot MATLAB Programming&quot combination of these three were about, that one is using the kit to quickly solve the optimization problem, on the other hand, through in-depth programming algorithm to solve the optimization problem. Including MATLAB optimization toolbox, unconstrained multi-dimensional extremum problems, constrained optimization, nonlinear least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm.)