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K-means++算法实现，加强了初始聚类点的选取（careful seeding）(K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding))

matlab在数理统计中的应用，对学习matlab及数理统计人员均有很好的帮助(matlab in the application of mathematical statistics, matlab learning and statistics to help people have a very good)

把三角函数的和 按周期的不同 把需要的周期函数 抽出来 相当于滤波器的作用(The trigonometric functions and the need to press the different cycles of periodic functions to extract the equivalent filter function)

matlab实现xls文件中数据的误差统计，并显示比较结果。(matlab xls file data error statistics, and displays the result of the comparison.)

学习结构动力学newmark法的简单程序，单自由度和受迫振动(A Simple Program for Learning the Newmark Method of Structural Dynamics, Single Degree of Freedom and Forced Vibration)

matpower软件下，最优潮流程序完整版，希望对大家有用(matpower software, the optimal power flow procedures for the full version, in the hope that useful to everybody)

co-SIMULATION INTEGRATED WITH oPTISM IN ORDER TO DO SIMULATION OF SINGLE MODE FIBER

有关于海洋环境噪声以及信道多径传播的程序(About the program of the marine environment and channel noise multipath propagation)

说明：  用蚁群算法解决VRP问题，包含基本蚁群算法（我记得不含时间窗约束）(Using ant colony algorithm to solve VRP problem, including basic ant colony algorithm)

说明：  粒子群优化算法(Particle Swarm optimization,PSO)又翻译为粒子群算法、微粒群算法、或微粒群优化算法。是通过模拟鸟群觅食行为而发展起来的一种基于群体协作的随机搜索算法。通常认为它是群集智能 (Swarm intelligence, SI) 的一种。它可以被纳入多主体优化系统(Multiagent Optimization System, MAOS)。粒子群优化算法是由Eberhart博士和kennedy博士发明。(The probabilistic neural network has a simple structure and is easy to design Particle Swarm Optimization (PSO) is translated as Particle Swarm Optimization, Particle Swarm Optimization, or Particle Swarm Optimization. It is a random search algorithm based on group collaboration developed by simulating the foraging behavior of birds. It is generally considered to be a type of swarm intelligence (SI). It can be incorporated into Multiagent Optimization System (MAOS). The particle swarm optimization algorithm was invented by Dr. Eberhart and Dr. Kennedy.)