用数组来解决关于国际象棋马踏棋盘问题 已经调试无错误...

Digital Signature Algorithm (DSA)是Schnorr和ElGamal签名算法的变种，被美国NIST作为DSS(DigitalSignature Standard)。算法中应用了下述参数： p：L bits长的素数。L是64的倍数，范围是512到1024； q：p - 1的160bits的素因子；-Digital Signature Algorithm (DSA) is the Schnorr and ElGamal signature algorithm variants, by the U.S. NIST as a DSS (DigitalSignature Standard). Algorithm applied the following parameters: p: L bits-long prime. L is a multiple of 64, range 512 to 1024 q: p- 1 of 160bits prime factor

全概率公式和贝叶斯公式 全概率公式和贝叶斯公式 -全概率公式和贝叶斯公式全概率公式和贝叶斯公式全概率公式和贝叶斯公式全概率公式和贝叶斯公式

vc++学习之――基于对话框的应用程序 。-vc study-- based on the dialog application.

mapinfo的开发要点说明，MapBasic是Mapinfo自带的二次开发语言，它是一种类似Basic的解释性语言，利用MapBasic编程生成的*.mbx文件能在Mapinfo软件平台上运行，早期的Mapinfo二次开发都是基于MapBasic进行的。-MapInfo development Explanatory notes, Mapinfo MapBasic is the second development to bring their own language, It is a similar explanation of the Basic language, Programming using MapBasic generated*. mbx documents in Mapinfo software platform operation, Early Mapinfo secondary development are based on the MapBasic.

labview教材的配书课件。制作详细，可供参考。共6部分，下载后统一解压-LabVIEW courseware materials with the book. The production of detailed, for reference. A total of 6 parts, download decompression unification

大学计算机课程设计 工资管理系统[自编] C语言描述 -University computer course management system designed salaries [self] C language description of

智能天线的算法研究，我在中国知网上下载的-Research on smart antenna algorithm, I know Chinese online download at the

本书结合作者丰富的实践经验和深厚的理论基础，总结出一系列行之有效的高质量Java编程的规则和建议，指导读者提高Java程序开发的水平。-author of the book combines rich practical experience and solid theoretical foundation, summed up a series of effective, high-quality Java programming rules and recommendations to guide readers to improve Java programming level.

TMS320F2812的中文资料，主要描述芯片的引脚功能和一些应用案例。-TMS320F2812 the Chinese data, the main describing chip features and some application cases of pin-

《计算机视觉中的多视图几何》的外文经典教程，详细介绍计算机视觉的知识，第二部分-《multi-view geometry in Computer Vision》 the foreign classics tutorial, a detailed knowledge of the introduction of Computer Vision, Part II