Sobel

用C++template模板实现环形对，包括插入，删除，返回最大值等功能(Realize the ring right, including insert, delete, and other functions with the maximum return C++template template)

以NACA0012 翼型为研究对象，采用拉格朗日法分析了重力对水滴撞击特性的影响，获得了过冷大水滴(SLD)撞击特性。(The influence of gravity on the droplet impingement property were analyzed with the Lagrangian method, and the supercooled large droplet (SLD) impingement property has been gotten based on the research of NACA0012 airfoil)

为满足对日益增长的数据传输速率和系统容量 的要求，无线宽带移动通信已由传统的单输入单输 出(single-input single-output，SISO)系统发展到多输 入多输出(multiple-input multiple-output，MIMO)系 统(In MIMO systems, channel state information (CSI) is necessary for coherent detection and channelequalization at the receiver.)

fluent syamlal-obrien模型(fluent syamlal-obrien model)

Compare two txt files

说明：  基于当前统计模型的matlab程序仿真实现(Statistical model based on the current simulation matlab program to achieve)

#include <iostream.h> int main() { int i(0),sum(0) while (i<=100) { sum=sum+i ++i }cout<<"sum="<<sum<<endl return 0； }

一篇运动硬化的文章，英文原版,Implementation of cyclic plasticity models based on a general form of kinematic hardening(A kinematic hardening of the article, the original English,Implementation of cyclic plasticity models based on a general form of kinematic hardening)

Template Classes的用法(Template usage)

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)