4t1r

说明：  张维迎的《博弈论与信息经济学》，很能锻炼人的思维，介绍了四种类型的博弈模型(Weiying' s &quot Game Theory and Information Economics,&quot is to train a person' s thinking, describes four types of game models)

参考文献《外辐射源定位跟踪技术的研究》(两步加权最小二乘法)以及 《a simple and efficient estimator for hyperbolic location》对Chan算法进行仿真；认定基站数目为5个； (The Chan algorithm in the TDOA location based on the CDMA cell network)

This paper deals with the damping technic of Low frequency oscillation in power system SMIB with SSSC compensator and HYBRID FUZZY CONTROLLER

惯性测量单元的C源代码 用于测量物体的姿态变化 可应用与惯性导航 小飞机等设计(IMU(inertial measurement unit) source code)

MATLAB遗传算法工具箱及应用。本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章。第一章至第四章介绍遗传算法的基础知识，包括遗传算法的基本原理，编码、选择、交叉、变异，适应度函数，控制参数选择，约束条件处理，模式定理，改进的遗传算法，早熟收敛问题及其防止等。(MATLAB genetic algorithm toolbox and its application. This book describes the features of MATLAB Genetic Algorithm and Direct Search Toolbox, programming principles and use. The book is divided into nine chapters. Chapter to Chapter IV describes the basics of the genetic algorithm, including the basic principles of genetic algorithm, encoding, selection, crossover and mutation, the fitness function, the control parameter selection and processing constraints, schema theorem, improved genetic algorithm, precocious convergence problem and its prevention.)

《数值方法 （MATLAB版） （第三版）》美）玛蒂尔达，比较清晰，适合入门时使用。( Numerical method (MATLAB Edition) (Third Edition) beauty) Matilda, clearly, suitable for entry.)

量子理论和离子群优化算法结合，构建的量子粒子群优化算法，获得较的效果！(Quantum theory and particle swarm optimization algorithm combining quantum behaved particle swarm optimization algorithm to construct, acquire more effect! )

MVDR算法的频率谱估计 包含1个目标信号和2个干扰信号(Frequency Spectrum Estimation of MVDR Algorithm Contains one target signal and two interference signals)

2007年全国大学生数学建模获奖论文所需程序代码，其中有较详细的matlab编程，应该有些用处吧(Mathematical Contest in Modeling 2007, papers required for award-winning code, including more detailed matlab programming, it should be of some use)

Implemenation of a variant of the rotation forest (Rodriguez et al., Rotation Forest: a new classifier ensemble method, PAMI 2006) proposed in L. Nanni and A. Lumini, Using ensemble of classifiers in Bioinformatics, in H. Peters and M. Vogel, Machine Learning Research Progress, Nova publisher, 2009