nsga2--original--test

我自己编写的飞行器控制系统设计代码，使用的线性不等式的方法。看m文件说明，最后还有simlunk模型仿真。(I have written an aircraft control system design code, the use of the linear inequality method. M document describes the look, and last but not simlunk model simulation.)

说明：  高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版，更新于2010-09-27(Gaussian process regression and classification algorithm in the application. And the book &quot machine learning based on Gaussian process&quot support. This program is the latest v3.1 version, updated on 2010-09-27)

voicebox contains a number of installation-dependent global parameters and is likely to need editing for each particular setup.

对一随机信号进行AR模型的谐波估计,包括不同采样点数(Harmonics of a random signal AR model estimates, including different sampling points)

说明：  用matlab语言写的EM(Expectation maximization)算法,用于模式分类(Matlab language used to write the EM (Expectation maximization) algorithm for pattern classification)

patchantenna matlab code

钱伯斯——三点迭代公式，同抛物线法一样可以求方程的根。(Chambers- 3:00 iteration formula, with the parabola method can still seek the root of equations.)

说明：  对k-medoids与qpso结合的算法进行改进。选择调用qpso优化，降低运行时间，提高算法的执行效率。(Pairs of k-medoids algorithm combined with the qpso improvements. Select call qpso optimization, reducing operating time and improve the efficiency of the implementation of the algorithm.)

光伏电池阵列模型，用于多电池的光伏发电仿真模型的建立(Photovoltaic array model for multi-cell photovoltaic Simulation Model)

。本书首先讲述了MATLAB语言程序设计基础，然后分别介绍了符号计算在微积分和复变函数两门大学数学基础课程中的应用，接着系统的介绍了线性方程组、非线性方程与最优化方法、特征值与特征向量、插值与函数逼近、估计方法和数据拟合、积分计算、常微分方程的数值方法。从实用角度考虑，本书许多章节都给出了一些数值分析的应用范例，并在最后一章单独介绍了一些综合性较强的数学建模问题(This book starts by describing the basis of MATLAB programming language, and then introduced the symbolic computation in calculus and complex functions based on two college courses in applied mathematics, and then introduced the system of linear equations, nonlinear equations with the most optimization method, eigenvalue and eigenvector, Interpolation and function approximation, estimation and data fitting, integral calculation, numerical methods for ordinary differential equations. From a practical point of view, many of the chapters the book gives some numerical analysis are examples of the application, and separate in the final chapter describes some of the more integrated mathematical modeling)