最优潮流

C++ Builder 帮助文档，比较全的Builder帮助文档-C++ Builder help documentation, comparing the whole of the Builder help documentation

小的计算器，适合初学者，虽然简陋了点，但很清楚(Calculator, suitable for beginners)

ARCGIS程序， 基于ArcGIS平台 用于测试面（如行政区）是否重叠-teset polygon is overlap or not

冒险岛登录器网关+登录器套件，只提供参考。(Adventure Island Logger Gateway + Logger Suite, only for reference.)

自由始端和终端的动态规划,求指标函数最小值的逆序算法递归 ％ 计算程序,x是状态变量,一列代表一个阶段状态；M-函数 ％ De()

影院售票系统完整源码，图形化售票、退票、预定票直观明了-cinema ticketing system integrity source, graphical tickets, refunds, scheduled votes intuitive understanding

该代码不仅实现了编码的仿真，还在多种条件下实现了译码的仿真，包括MAP,LOG-MAP,SOVA下的单双滑动窗口。-The code not only to achieve a coding simulation, is also a wide range of conditions to achieve the decoding of the simulation, including MAP, LOG-MAP, SOVA under single-and double-sliding window.

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.)

利用迅雷提供的sdk,制作的demo.程序在vs2010下面可以编译运行(Using SDK provided by Xunlei, the demo. program can be compiled and run under VS2010)

四边固支板模态求解，包含两个文件，用matlab打开(Four sided clamped plate modal solution, including two documents, open with MATLAB)