matlab

GPS/INS组合导航，可以提高系统精度，很实用(integrated navigation)

Program in matlab for rbf network.

线性分类器-最小平方误差算法，对一组数据进行分类，分析b1、b2改变对结果的影响(Linear classifier- the least square error algorithm)

total for 16 bus system load flow

this file introduce binary pso 2010

logistic曲线拟合对未开进行预测分析(logistic fit)

许多系统包含了流量问题。例如交通系统有车流量，金融系统有现金流，控制系统有信息流等。许多流问题主要是确定这类系统网络所能承受的最大流量以及如何达到这个最大流量。MATLAB环境下解决最大流问题(Many systems contain a flow problem. Traffic such as traffic system, the financial system has cash flow, information flow control system. Many flow problem is to determine the maximum flow of such systems and how the network can bear to achieve this maximum flow. Maximum flow problem solving MATLAB environment)

随机性的NIST测试matlab程序，包含十五种测试指标，功能齐全！(The NIST test for randomness,it contains fifteen tests.)

利用Matlab语言编写的流体计算的源代码，里面包含了几个实例(The source codes are written by Matlab, which contains several examples about CFD)

MATLAB已成为多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型应用软件，目前的最高版本是6.0版。本教程以6.0版为基础，从高等工科院校的数学课程出发，提供了使用MATLAB的实践性指导。本教程以教学的手段，系统详细地介绍了MATLAB在高等数学、数值分析、函数作图、线性代数、概率统计和优化理论中的应用，并配备了大量的例题，让读者能很快掌握MATLAB的运算技巧。 本教程按逻辑编排，自始至终用实例描述，既适用于初学者自学，也适用于高级MATLAB用户。可作为高等数学、数值分析、工程数学、数学建模、线性规划等课程的教学参考书，也可作为科技工作者学习和使用MATLAB的参考书，还可作为数学实验的教学用书，特别适合用作理工科大学生学习数学课程的教学辅导书。 本教程的光盘内容详尽、实例丰富：包含了MATLAB实例的源文件，函数/命令及注解，程序实例。(MATLAB has become a multi-disciplinary, multi-working platform powerful, user-friendly, language, natural and open and strong large-scale software applications, currently the highest version is 6.0. This tutorial with version 6.0 as the foundation, the mathematics curriculum in engineering colleges starting to provide a practical guide for using MATLAB. This tutorial with a medium of instruction, the system described in detail MATLAB in advanced mathematics, numerical analysis, function graphing, linear algebra, probability and statistics and optimization theory, application, and is equipped with a large number of Example, so that readers can quickly grasp the MATLAB computing skills. This tutorial logically arranged from beginning to end examples describing both self-study for beginners, but also to advanced MATLAB users. Can be used as advanced mathematics, numerical analysis, engineering, mathematics, mathematical modeling, linear programming courses teaching reference books, but )