MPVL

a.阅读的图像img_1.tif，img_2.png的文件夹中，并 他们展示于一体，这两个数字分别。 （参考函数：imread, imshow, figure, subplot） b.在matlab，观察从工作区中的图像信息面板 c.分别使用size, imfinfo,whos等功能获得的图像信息 d.添加标题的图像。 （参考函数：title） Ë 。下面的代码实现的M文件编辑器 f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) 观察结果，并确定的功set() f。保存img_1.tif目录“D： imagetest”。如果该文件夹不 存在，请首先创建这个新的文件夹。 （参考函数：imwrite） (a. Read the images img_1.tif, img_2.png given in the folder, and show them in one and two figures respectively. (referenced function: imread, imshow, figure, subplot) b. In matlab, observe the images information from the workspace Panel c. Use size, imfinfo,whos,etc functions to obtain image information respectively. d. Add title to the images. (referenced function: title) e. Implement the following codes in the M-file Editor f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) observe the result, and determine the function of set() f. Save img_1.tif to the directory “d:imagetest”. If the folder does not exist, please create this new folder first. (referenced function: imwrite))

说明：  仿生优化计算方法，可适用于基于选择类问题求解(Metaheuristic method, which can be used for problems based the requirement of sample selection)

matlab file for Variable Frequency Oscillator,Parallel RLC Circuit,AC Energization of a RL Circuit and Series RLC Resonant Circuit simulation

基于RLS算法的自适应线性预测,matlab代码，可以一用(Adaptive linear prediction based on RLS algorithm, matlab code, one can use)

采用matlab语言对扩散微分方程进行了求解的M文件(The code is diffusion pde equation in matlab language)

介绍matlab入门与提高的好东西，简单明了(Introduction matlab entry and increase the good things simple)

MATLAB学习经典 以示参考 十分有用(MATLAB learning classic to show reference useful)

this file contains modelling of brushless dc motor based linear electro mechanical actuation system and its position control

it s Seimulated annealing for VRP with capacity constraint

Jacobi迭代法、Gauss-Seidel迭代法、超松弛迭代法（SOR方法）分别求解线性方程组的近似解(Jacobi iteration, Gauss-Seidel iteration, SOR (SOR method) for solving linear equations are approximate solutions)