第一章 嵌入式LINUX 开发基础知识 第二章 基础实验 第三章 MINIGUI 程序设计 第四章 内核实验 第五章 驱动模块实验 第六章...

Visual FoxPro 6.0程序设计教程电子教案-Visual FoxPro 6.0 Programming tutorial e-lesson plans

用Java实现的计算器代码 界面功能都很好 推荐-With Java implementation code calculator recommend a good interface functions

ADS_错误代码解释-ADS_ error code explained

VC的API重要函数，提供了一些基本的信息，如果需要请-VC essential function of the API to provide some basic information, if necessary, please take a look at

在一个划分成网格的操场上，n个士兵散乱地站在网格点上。网格点由整数坐标(x,y)表示。士兵们可以沿网格边上、下、左、右移动一步，但在同一时刻任一网格点上只能有一名士兵。按照军官的命令，士兵们要整齐地列成一个水平队列，即排列成(x,y),(x+1,y),…,(x+n-1,y)。如何选择x 和y的值才能使士兵们以最少的总移动步数排成一列。 实验任务：计算使所有士兵排成一行需要的最少移动步数。-In a grid divided into the playground, n soldiers stood scattered on the grid points. Grid point by the integer coordinates (x, y) express. Soldiers along the edge of the grid, down, left and right moving step, but at the same time any one grid point has only one soldier. In accordance with the officer s command, the soldiers should be neatly列成level queue, that is arranged in (x, y), (x+ 1, y), ..., (x+ N-1, y). How to choose x and y values to make the soldiers with the minimum of the total moves one line up. Experimental tasks: the calculation so that all the soldiers lined up his required minimum moves.

是一篇很不错的电子文档，值得一看，值得借鉴。-Is a very good electronic documents, see, is worth learning from.

VC深入详解的随书源码，第13章到第18章全部示例-VC-demand in-depth Xiangjie book source code, Chapter 13 to Chapter 18 Full Sample

包括一篇国外关于机器学习的文章和一些数据结构与算法的代码-abroad, including a study on the machinery of the article and some data structure and algorithm code

的源代码VB.NET版书-第5章

本文档是对 R (“GNU S”）的入门介绍。R 是一种为统计计算和图形显示而设计的语言及环境，它和贝尔实验室（Bell Laboratories） John Chambers 等人开发的 S 系统相似。它提供了一系列统计和图形显示工具（线性和非线性模型，统计检验，时间序列分析，分类，聚类，……）。 该文档提供了有关 R 的数据类型，编程原理，统计建模和图形显示等方面的信息。 -This document is a R ( " GNU S" ) the entry description. R is for statistical computing and graphics designed language and environment, which, Bell Labs (Bell Laboratories) John Chambers, who developed similar to S-systems. It provides a range of statistical and graphical display tools (linear and nonlinear models, statistical tests, time series analysis, classification, clustering, ... ...). This document provides information about the R data types, programming theory, statistical modeling and graphical display such information.