LMSandRLScompare

直接型到级联型的形式转换 ％ [b0,B,A]=dir2cas(b,a) ％b 为直接型的分子多项式系数 ％a 为直接型的分母多项式系数 ％b0为增益系数 ％B 为包含各bk的K乘3维实系数矩阵 ％A 为包含各ak的K乘3维实系数矩阵 ％(directly to the cascade-type conversion in the form of%% [belts, B, A] = dir2cas (b, a)% b-to direct the molecular polynomial coefficients% for a direct-denominator polynomial coefficients% of the gain coefficient belts% B To contain the bk K by the three-dimensional real coefficient matrix% A to include all ak K by the three-dimensional real coefficient matrix%)

E-mail messages automatically notifies the system

this source code is a simple peer to peer program that enables user to contact each other directly

这是一本关于matlab在数学建模中的使用的书，希望对大家有用(This is a book on matlab in the use of mathematical modeling in the book, I hope useful for everyone)

SOVA matlab译码程序，一个老外博士写的， 挺不错的，可输出软信息。(SOVA Matlab decoding procedures, a foreigner written by Dr Ting good, soft output information.)

多极值点函数,包含有多个极小值点，要找到全局最小值点。属于无约束条件静态随机搜索最优化问题，有详细注解说明。(More extreme value point function, contains multiple minimum points, to find the global minimum point. Static random search optimization problem belongs to the unconstrained conditions, there are detailed notes.)

根据徐晨阳梯度向量流snake方法编写程序(based on Chenyang Xu s GVF snake)

second order sliding mode control

说明：  本算法为用遗传算法改进粒子群GA-PSO算法，附带含有程序使用说明。(This algorithm uses genetic algorithm to improve particle swarm optimization GA-PSO algorithm, with instructions for the use of the program.)

。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)