mymatlab

decimal to binery converter

交错网格声波方程正演模拟，PML吸收边界，比较适合刚刚接触的学者。交错网格有限差分地震波场计算，二维的声波正演，利用空间10阶，时间2阶。(The CalCulation of the SeismiC Wave一 fieldwith Staggered-grid Finite difference Sheme)

vc与matlab混合编程的具体实例。vc调用matlab的.m函数，经过编译之后转换为C++程序，实现进行混合编程。(vc mixed with Matlab programming specific examples. Vc call Matlab. M function, compiled after the conversion of C procedures, mixed programming.)

lassification som reseau

Matlab 和C C++ 混合编程 刘维编著(Matlab and C C++ mixture programming)

一个简单的文本匀齐排版程序源代码，基于WIN32控制台的(A simple text smoothing Qi typesetting program source code, based on WIN32 console)

本程序用C语言实现直角坐标系下的牛拉法潮流计算(power flow calculation program using C language under the rectangular coordinate system )

虚拟工厂模式典型实例，通俗易懂，易学易仿(abstract factory example)

C++ project simulation

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)