4a-+Ch+9+Hypothesis+Testing

如何在首页显示当前的让你的主页能够自动识别来访者使用的浏览器； 一种一条一条显示信息的跑马灯； 自动滚屏并不一定需要Dhtml，到这里看看喔！ 在页面上提供向前，向后翻页的按钮。 告诉来访者在本页面停留的时间，作用好坏你判断吧！ 请来客登记姓名，统计来访次数。等等 ，还有很多很多原码等着你来看哦~(Home show the current home page you can automatically identify visitors to use the browser; One shows a message of a 5,250; Auto Scroll Dhtml not necessarily need to see here! The pages provide forward and backward scrolling button. Tell visitors stay in the pages of time, the role of good or bad judgment you! Invited guests registered to the name, the number of visitors statistics. And so on and many source waiting for you to look at oh)

c++头文件浏览表(Table View)

Gelfand numbers of operators with values

说明：  超级经典的ALLEGRO SI仿真教程，CADENCE原版的，ALLEGRO SI仿真难学，有了这个教程，学习不再难，讲的很详细。(Super classic ALLEGRO SI simulation tutorial, CADENCE original edition, ALLEGRO SI simulation difficult to learn, with this tutorial, learning is no longer difficult to talk in great detail.)

最为经典的c++教程,大概好多人都有了中文版吧?这个是英文原版的,推荐(most classic c Directory, a lot of people probably have a Chinese version of it is the original English version and recommended)

acm大赛题，(acm contest that, well good)

link and loader,很好的一本数，讲链接和加载的(link and loader, a good number of links and load stresses)

有关直接数值模拟和浸没边界法的经典的论文，希望对大家有用(A Paper about DNS and immersed boundary method,)

说明：  基于python的模块matplotlib画各种机器学习结果的图(matplotlib for the plot of machine learning)

说明：  本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)