installing-ubuntu-in-pen-drive

说明：  北航数值分析课件全套，包含考试题和大作业的要求。(Beihang numerical analysis courseware)

用python实现了一个从云平台下载资源的程序(it can run in the python2.6.6)

说明：  集合着网页编程的基础 对于新手的学习是非常有帮助的(Set the foundation for the novice web programming learning is very helpful)

Ericsson 3G Trial Network Optimization

basic english sentence patterns

立体视觉方面的介绍和推导PPT，有助于初学者理解掌握多视几何(Introduction and derivation of three-dimensional visual PPT, help beginners understand the multi view geometry)

康老师模电全套课件，是学习模电的好资料，希望能给需要的人帮助(Kang teacher-mode full courseware, learning good information-mode, hoping to give those who need help)

脚本语言开发游戏的经典-采用LUA,Python和Ruby(Scripting language to develop a classic game- the use of LUA, Python and Ruby)

说明：  本书介绍Linux操作系统的基本知识、以及在Linux和其他UNIX风格的操作系统上进行程序开发。本书的主要内容包括：Linux的入门知识、使用Shell进行程序设计，Linux的管理及开发工具。Perl程序设计语言，Web程序设计(This book introduce basic knowledge of Linux operating system, as well as Linux and other UNIX-style operating systems for program development. The main contents of this book include: Linux entry knowledge, using the Shell to carry out programming, Linux administration and development tools. Perl programming language, Web Programming)

本书共分5章：第1章介绍GPU通用计算的发展历程，介绍并行计算的历史、现状以及面临的问题；第2章介绍CUDA的使用方法，帮助理解CUDA的编程模型、存储器模型和执行模型，掌握CUDA程序的编写方法；第3章探讨CUDA硬件架构，深入分析Tesla GPU架构与CUDA通用计算的相互作用：第4章总结CUDA的高级优化方法，对任务划分、存储器访问、指令流效率等课题进行探讨；第5章以丰富的实例展示如何使用CUDA的强大性能解决实际问题。(This book is divided into five chapters: Chapter 1 introduces the development process of general-purpose GPU computing, parallel computing introduces the history, current situation and problems Chapter 2 describes the use of CUDA to help understand the CUDA programming model, the memory model and implementation model, master CUDA program writing method Chapter 3 explores CUDA hardware architecture, in-depth analysis of Tesla GPU architecture and CUDA general-purpose computing interactions: Chapter 4 summarizes the CUDA advanced optimization methods, the division of tasks, memory access, instruction stream efficiency and other topics were discussed Chapter 5 with abundant examples show how to use CUDA strong performance to solve practical problems.)