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Female Header Drawing

  • SharpZipLib之前叫做NZipLib

    SharpZipLib之前叫做NZipLib,完全由 C# 開發的壓縮庫,支持Zip, GZip, Tar and BZip2 ,為2007年8月最新0852release版的代碼實例! Changes for v0.85.2 release Minor tweaks for CF, ZipEntryFactory and ZipFile. Fix for zip testing and Zip64 local header patching. FastZip revamped to handle file attributes on extract + other fixes Null ref in path filter fixed. Extra data handling fixes Revamped build and conditional compilation handling Many bug fixes for Zip64. Minor improvements to C# samples. ZIP-1341 Non ascii zip password handling fix. ZIP-355 Fix for zip compression problem at low levels

    標簽: SharpZipLib NZipLib

    上傳時間: 2015-12-11

    上傳用戶:love_stanford

  • This package consists of the executable (UCW), a default script file, this file, and the library fi

    This package consists of the executable (UCW), a default script file, this file, and the library files. It is important that the header files end up in a include subdirectory of the directory where UCW is found. If you unzip this file using its path information ( use folder names ) this will automatically happen. You can optionally specify the UnderC directory with the environment variable UC_HOME note that this points to the directory containing ucw.exe. If you do this, then you can copy the executable anywhere and it will still be able to find the header files.

    標簽: file executable the consists

    上傳時間: 2013-12-17

    上傳用戶:asddsd

  • Welcome to UnderC version 1.2.9w This package consists of the executable (UCW), a default script

    Welcome to UnderC version 1.2.9w This package consists of the executable (UCW), a default script file, this file, and the library files. It is important that the header files end up in a include subdirectory of the directory where UCW is found. If you unzip this file using its path information ( use folder names ) this will automatically happen. You can optionally specify the UnderC directory with the environment variable UC_HOME note that this points to the directory containing ucw.exe. If you do this, then you can copy the executable anywhere and it will still be able to find the header files.

    標簽: executable consists Welcome package

    上傳時間: 2015-12-18

    上傳用戶:baiom

  • Matrix TCL Lite 1.12 This matrix C++ template class library is for performing common matrix operati

    Matrix TCL Lite 1.12 This matrix C++ template class library is for performing common matrix operations in your C++ program like any other built-in data types. To install the package, just copy MATRIX.H file into the INCLUDE directory of your compiler and include this header file in your program source file.

    標簽: matrix performing template library

    上傳時間: 2016-01-05

    上傳用戶:h886166

  • This article describes a sniffer for Windows. WinSniff is an application for capturing packets on th

    This article describes a sniffer for Windows. WinSniff is an application for capturing packets on the network. It displays all the packets that are transmitted on the local network and gives detailed information about each header in the packet. In order to keep it simple, I am not dealing with application level protocols. If you are interested, you can add features to support various application level protocols such as SMTP, FTP, NETBIOS etc

    標簽: application describes capturing for

    上傳時間: 2016-01-22

    上傳用戶:lijianyu172

  • TFIND searches for one or more strings (boolean AND) in a text file. TFIND reports all lines whe

    TFIND searches for one or more strings (boolean AND) in a text file. TFIND reports all lines where the string(s) were found (or NOT found by option). The search can be limited to a field in a fixed field (i.e. column oriented) list. An extended search mode is available, where only letters and digits are relevant. Other options: case sensitive search, alternative errorlevel with number of hits, header line with file name, LFN, custom prefix

    標簽: TFIND searches boolean reports

    上傳時間: 2016-01-24

    上傳用戶:lindor

  • CHAPT12Chapt12.cpp Part of the 32-bit test progrma for the Win32Port class. CHAPT12Chapt12.dsp The

    CHAPT12\Chapt12.cpp Part of the 32-bit test progrma for the Win32Port class. CHAPT12\Chapt12.dsp The Visual C++ project file for the program. CHAPT12\Chapt12.dsw The Visual C++ workspace file for the program. CHAPT12\Chapt12.h The header file for the app s application class CHAPT12\Chapt12.ico The icon used in Chapt12.exe CHAPT12\Chapt12.rc The resource file use in the test program. CHAPT12\Chapt12Dlg.cpp The implementation of the dialog class CHAPT12\Chapt12Dlg.h The declarations of the dialog class CHAPT12\MyWin32Port.h Definition for a class derived from Win32Port. CHAPT12\resource.h The resource IDs

    標簽: CHAPT Chapt 12 the

    上傳時間: 2013-12-17

    上傳用戶:yan2267246

  • linux下的網頁抓取與分析源碼

    linux下的網頁抓取與分析源碼,可以實現在linux下的網頁抓取,并呈現網頁header的分析報的功能

    標簽: linux 源碼

    上傳時間: 2014-11-27

    上傳用戶:love_stanford

  • On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl

    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.

    標簽: demonstrates sequential Selection Bayesian

    上傳時間: 2016-04-07

    上傳用戶:lindor

  • This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t

    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.

    標簽: sequential reversible algorithm nstrates

    上傳時間: 2014-01-18

    上傳用戶:康郎

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