lab1

说明：  最优化计算一书中二次规划源代码，已通过测试，可直接运行！(Optimization calculation of a book quadratic programming source code, and have passed the tests, can be directly run.)

说明：  摘 要：0IE 问题是一个典型的优化组合问题，现在有很多解决的方法。本文针对遗传算法求解0IE 问题进行了研究，对 选择、交叉和变异算子进行了算法设计，最后在_ C- N软件上进行编程实现。结果表明，遗传算法在求解0IE 问题时具有 结果准确、收敛速度快等特点。 关键词：遗传算法；0IE 问题；最优化问题；_ C- N 软(Abstract: 0IE problem is a typical combinatorial optimization, there are many solutions. In this paper, genetic algorithm 0IE conducted a study on the selection, crossover and mutation operators of the algorithm design, and finally _ C- N software for programming. The results indicate that the genetic algorithm in solving problems with 0IE accurate, fast convergence and so on. Key words: genetic algorithm 0IE problem optimization problems _ C- N Soft)

feature etraxction in fingerprint recogintion project it is matlab code

说明：  计算时变重力场变化的程序，通过此程序可以计算地球质量变化等等。(Changes in time-varying gravity field calculation program, this program can be calculated by changes in Earth' s mass and so on.)

自同期并列模型，simulink仿真，用于研究带故障的自同期并列问题(From the same period in parallel model, simulink simulation for research the same period in parallel with the failed issue)

这个m文件实现了Newton raphsom算法，从而解决分布式功率流问题。(M realized this document Newton raphsom algorithm, so as to solve the problem of distributed power flow.)

《面向MATLAB工具箱的神经网络理论与应用》一书中实例的所有源代码，及详细说明(ANN，matlab,hop,bp,ART)

Computational Statistics Handbook with MATLAB的电子书籍，讲授计算统计学([T]his book is perfectly appropriate as a textbook for an introductory course on computational statistics. It covers many useful topics, which in combination with the well-documented code, make the underlying concepts easy to grasp by the students)

说明：  加权的支持向量机分类matlab代码，有效减少特征数量，附带数据，下载cvx优化工具包后可以直接运行(Weighted support vector machine classification matlab code, effective in reducing the number of features, with the data, download cvx optimization toolkit can be run directly after the)

using L in profile storage. We may solve Ly  b accessing L by row and either LTx  y accesing LT by column or equivalently xTL  yT accessing L by row