Chapter5

C-W节约法的matlab实现源代码，解决vrp问题(CW Conservation Act of matlab implementation source code, to solve the problem vrp)

matlab 高级应用的一些例子，希望对大家有所帮助(matlab examples of advanced applications, we hope to help)

An effieicnt matlab m code for solving the optimun capital allocation in the field of Markowitz portfolio optimization.

使用混沌与分形分析的例程，包括面积、周长、矩形度、伸长度，主要为数据分析和统计，PLS部分最小二乘工具箱,matlab程序运行时导入数据文件作为输入参数，针对EMD方法的不足。( Use Chaos and fractal analysis routines, Including the area, perimeter, rectangular, elongation, Mainly for data analysis and statistics, PLS PLS toolbox, Import data files as input parameters matlab program is running, For lack of EMD.)

说明：  matlab语言编写的实现iris数据的最小错误贝叶斯分类(Iris data to achieve the minimum error Bayesian classification)

This program allows you to analyze the size of grains in a micrograph with the intersection method arranged in a user-friendly GUI.(grain and particle analysis with line intersection method)

计算电磁学 二维廖氏吸收边界程序 采用MATLAB编写(Lio dimensional computational electromagnetics absorbing boundary program written using MATLAB)

异步电机起动仿真程序（abc坐标系下）两个文件要放在一个文件夹下运行(asynchronous start program)

其中，子目录《数字信号处理题解及电子课件》_MATLAB程序包含了完成该书的习题参考答案时所用到的MATLAB程序，直接运行这些程序可给出相应习题参考解答的结果。用MATLAB编写的程序的名称由“ex”开头，接下来是所在的章、习题序号及该习题中MATLAB程序的序号，如ex_01_06_1，指的是第1章第6题的第1个程序。(Among them, the subdirectory " digital signal processing solutions and electronic courseware title" _MATLAB The book contains a complete reference to answer the exercises used by the MATLAB program, these programs can be run directly gives a reference to answer the result of exercise. MATLAB program with the name written by the " ex" at the beginning, followed by the host of the Chapter, and the number of exercises exercise program in MATLAB serial number, such as ex_01_06_1, refer to Chapter 1, Article 6, paragraph 1 of the title process .)

HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。(HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classification model of tool kit, using Java language. Development of the program' s main purpose is to solve the model by Ball SVM instead of the traditional means of solving two classification problems on the classical SVM model to solve multi-classification problems. This article discusses the main implementation details of the program, including related algorithms and design principles are described.)