GA

Runge-Kutta method for Rosseler attractor (chaotic map)

本程序用于普通递推最小二乘算法在MATLAB下的仿真，为C程序。(This procedure is for the ordinary recursive least squares algorithm in MATLAB simulation, the C program.)

Implements Minimum Search Tree using Kruskal Algorithm

this was my homework in the lesson "digital image processing" it is my own average and median filters function without useing the matlab s original functions . it can help your learning about filters. i uploaded whole the material but you can find it completely in "ö dev2.docx" my whole homework.

牛顿迭代法求无约束一维极值问题的速度相当快，而且还有一个好处就是能高度逼近最优值。(Newton iteration method for one-dimensional unconstrained extremum problem very fast, but there is a benefit that can be highly close to the optimal value.)

用直接解得办法求摄影测量中的相对定向元素( use direct measurement to find the relative orientation elements in photography)

matlab的几个重要程序 大家好好看看 里面有龙格 库塔算法(matlab 重要程序)

计算数独的好方法，能够快速解决问题，使用方便(Good way to calculate the number of independent, able to quickly solve the problem, easy to use)

This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them. (This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing: signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names eg tp1.m, and launch the script directly from Matlab comand line> tp1. Some of the scripts contains holes that you should try to fill on your own.I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.)

Tsuanmi aleart funcction