C# BigInteger class. BigInteger.cs is a csharp program. It is the BIgInteger class. It has methods: abs() , FermatLittleTest(int confidence) ,gcd(BigInteger bi) , genCoPrime(int bits, Random rand) , genPseudoPrime(int bits, int confidence, Random rand) , genRandomBits(int bits, Random rand) , isProbablePrime(int confidence) , isProbablePrime() , Jacobi(BigInteger a, BigInteger b) , LucasSequence(BigInteger P, BigInteger Q, BigInteger k, BigInteger n) ,max(BigInteger bi) , min(BigInteger bi) , modInverse(BigInteger modulus) , RabinMillerTest(int confidence) ,
标签： BigInteger class BIgInteger program
上传时间： 2013-12-23
上传用户：ynzfm
<％@ LANGUAGE="VBSCRIPT" ％> <!--#include file="util.asp" --> <％ Head="您放入购物车的物品已经全数退回！" Session("ProductList") = "" ％> <html> <head> <meta http-equiv="Content-Type" content="text/html charset=gb2312"> <STYLE type=text/css>.main { FONT-SIZE: 9pt } .main1 { FONT-SIZE: 14px } </STYLE> <title>清空购物车</title> </head> <body topmargin="5" bgcolor="#E6E4C4"> <diiv align="center"><center> <table width="100％" border="0" class="table1" bordercolor="#62ACFF" cellspacing="0" class=main1> <tr> <td width="80％" valign="top"> <p align="center" class=main1><％=Head％></p> <p align="center"> <br><input type="button" value="关闭" name="B2" onclick="window.close() " style="font-size: 9pt"></td> </tr> </table> </center></div> </body> </html>
标签： lt LANGUAGE VBSCRIPT include
上传时间： 2015-11-05
上传用户：zhaoq123
问题描述：编写一个JAVA程序，用面向对象设计的方法编写一个电话卡的类。包括卡号、密码、余额、拨入号码等 b）基本要求：类的属性有卡号、密码、余额、拨入号码，电话卡的常用操作可以用连接电话方法、返回余额方法与通电话方法来实现。 c）方法功能描述： 构造方法（PhoneCard(卡号,密码,余额,拨入号码)）可以完成属性值初始化赋值，并判断余额，余额为负就退出系统，请在构造方法中将初始时的连接置为false即表示没有连接。 卡号long cardNumber 密码private int password,余额double balance,拨入号码string connectNumber boolean connected(一个布尔类型变量表示电话卡连接状态，初始时默认没有连接，值为false，当调用连接电话方法()后，在判断卡号和密码相匹配后值置为true) 连接电话方法(performConnection(卡号,密码))可以完成检查卡号和密码，它是只有在卡号和密码相匹配时才连接 返回余额方法(getBalance())得到电话卡的余额 通电话方法(performDial())是模拟通过过程中，余额会不断减少，每调用此方法，电话卡的余额减少0。5元,打一次电话调用一次
上传时间： 2014-01-20
上传用户：1109003457
本文专门讲解如何运用这种原始套接字，来模拟I P的一些实用工具，比如Tr a c e r o u t e和P i n g程序等等。使用原始套接字，亦可对I P头信息进行实际的操作。
上传时间： 2013-12-24
上传用户：wqxstar
*--- --- --- --声明--- --- --- -----*/ /* VC6.0下运行通过 此程序为本人苦心所做，请您在阅读的时候，尊重本人的 劳动。可以修改，但当做的每一处矫正或改进时，请将改进 方案，及修改部分发给本人 (修改部分请注名明：修改字样) Email: jink2005@sina.com QQ: 272576320 ——初稿完成：06-5-27 jink2005 补充： 程序存在问题： (1) follow集不能处理：U->xVyVz的情况 (2) 因本人偷懒，本程序为加入文法判断，故 输入的文法必须为LL(1)文法 (3) 您可以帮忙扩充：消除左递归，提取公因子等函数 (4) …… */ /*-----------------------------------------------*/ /*参考书《计算机编译原理——编译程序构造实践》 LL(1)语法分析,例1: ERTWF# +*()i# 文法G[E]:(按此格式输入) 1 E -> TR 2 R -> +TR 3 R -> 4 T -> FW 5 W -> * FW 6 W -> 7 F -> (E) 8 F -> i 分析例句：i*(i)# , i+i# 例2： 编译书5.6例题1 SHMA# adbe# S->aH H->aMd H->d M->Ab M-> A->aM A->e 分析例句：aaabd# */
上传时间： 2016-02-08
上传用户：ayfeixiao
一个基于数据挖掘的图书智能销售系统，具有预测功能，同时能对客户进行数据挖掘分析。 .net平台，sql2005环境，必须安装sql205 BI
上传时间： 2016-03-15
上传用户：Thuan
人工智能的一个工具软件，较为经典，BI常用的推荐工具
上传时间： 2016-03-30
上传用户：四只眼
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
