管壳式换热器设计计算用matlab源代码

开关磁阻电机斩波控制的simulink模型(current chopping control for switched reluctance drive)

说明：  混沌序列的相空间重构的MATLABT程序,相信一定能给您带来惊喜.(chaotic sequence of phase space remodeling MATLABT procedures, I believe that you can bring surprises.)

灰色模型在很多行业领域内得到广泛的应用，程序采用MATLAB编程，可实现GM(1,1)预测(Gray model has been widely used in many industries, the program using MATLAB programming, GM (1,1) prediction)

一个车牌识别程序，包括对车牌的定位，识别。(A license plate recognition program, including the license plate location, identification.)

经典数据挖掘的MATLAB代码，非常全面！非常好用，欢迎大家下载使用~(Mining in the classical algorithm of MATLAB code is very comprehensive! Very easy to use, welcome to download ~)

简单的K均值聚类函数，用于求算重心的函数，算法高效快速(Simple K-means clustering function for calculating the center of gravity function, the algorithm is fast and efficient)

TF/SF for at 2D, square TEz over incident-angle range 0≤φ ≤90

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)

MATLAB初学者 介绍了MATLAB 的一些基本使用方法(MATLAB for beginners introduces some basic use MATLAB)

matlab常用算法的实现，还包括PPT讲解，很详细(matlab algorithm used, but also on the PPT, a very detailed)