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简单地实现了一、二、三维的K均值聚类，效果还不错，适合初步学习模式识别的同志们(Simple implementation of one, two, three - dimensional k-means clustering, the effect is not bad, it is suitable for the initial learning pattern recognition comrades)

潮流计算，IEEE30节点的潮流计算，和牛顿法的程序报告 (power flow)

说明：  通过三个点坐标，求出圆心坐标。C#代码，主要是算法。(Through the coordinates of three points, the coordinates of the center of the circle are obtained.)

三种帧同步算法的MATLAB代码,具有良好的算法效果，可以使用，请大家下载(Three kinds of frame synchronization algorithm MATLAB code, a good algorithm results, you can use, please download)

国外最近的一篇变步长nlms仿真，该文件有文中的几种仿真，包括基本的仿真，信道突变下的追踪性能和语音回声消除的性能分析(Recent foreign nlms a variable step simulation, the file has the text of several simulations, including basic simulation, channel tracking performance under mutation and voice echo cancellation performance analysis)

matlab语言写的计算八木天线的程序，可以改变单元的数量，给出各个阵子的电流分布和方向图 (matlab language computing Yagi antenna program, you can change the number of units each time around given the current distribution and orientation map)

说明：  自定义浮点数的软件实现，支持和普通浮点数的互换。(Self-defined float compatible with IEEE 754)

SAP2000软件具有框架单元、索单元、板单元、壳单元、平面单元、实体单元、连接单元、铰单元等单元，提供线性和非线性、静力和动力分析，可以进行静力分析、振型分析、反应谱分析、时程分析、曲屈分析、移动荷载分析、稳态分析、功能谱密度分析、静力Pushover分析、施工顺序加载分析等。 SAP2000是通用有限元分析与设计软件，适用于桥梁、工业建筑、输电塔、设备基础、电力设施、索膜结构、运动场所、演出场所等特种结构。 (SAP2000 software has a frame unit, cable unit, plate elements, shell elements, plane elements, solid elements, connecting elements, hinge unit and other units to provide linear and nonlinear, static and dynamic analysis, static analysis, vibration type of analysis, response spectrum analysis, time history analysis, buckling analysis, the moving load analysis, steady-state analysis, spectral density function analysis, static Pushover analysis, construction sequence loading analysis. SAP2000 is a general-purpose finite element analysis and design software for bridges, industrial buildings, transmission towers, equipment foundations, electrical facilities, cable-membrane structures, sports facilities, venues and other special structures.)

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.

比特交织编码中的迭代解映射算法简化 复杂度比原算法降低(Bit interleaved coded mapping algorithm in the iterative solution simplifies complex than the original algorithm reduces)