matlab

MIDACO是一般的优化问题求解器。 MIDACO可应用于连续（NLP），离散/整数（IP）和混合整数（MINLP）的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物，启发式算法的处理方法处理的问题，因为黑盒可含有关键功能特性，如非凸性，不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)

最优控制状态函数的例子，一般最优课程基本上都要留的作业(Optimal control of state function example, the general optimal course is basically to be left operating)

光栅衍射的强度和条纹。光栅的光学实验中有着分光、压缩脉冲等重要作用。研究它有重要的意义。(Grating diffraction intensity and stripes. Spectral the grating optical experiments have, the compressed pulse an important role. Research it has important significance.)

说明：  用谱方法解Kuramoto-Sivashinsky 方程matlab编程(Matlab programming of solving Kuramoto-Sivashinsky equation with spectrum method)

Local Histogram Equilizaion, its input is the mask size and returns the equilized image buffer

雷达概述，雷达基本组成，雷达方程，雷达进展，雷达分类(Overview of radar, radar basic components, radar equation, radar progress, radar classification)

计算Fisher的函数，根据Fisher可以计算出克罗美下界(Fisher s exact test is a statistical test used to determine if there are nonrandom associations between two categorical variables[1]. The job of Fisher s exact test with 2 x 2 or 2x 3 contingency table is already easily done by others. However, the one with n x m contingency table hasn t found , or with bad computation. This function efficiently deals with Fisher s exact test with n x m contingency table. As for the function :)

本书主要介绍matlab的基本使用方法，适用于matlab初学者，很实用，很精简。(this book introduces the application method of matlab.it is helpful for the beginner of matlab.)

航迹控制 轨迹跟踪---船舶航迹控制，典型的欠驱动控制问题。(trackkeeping)

用MATLAB的灰色预测GM（1，1）模型 (Grey with a MATLAB-GM (1,1) model)