SharpZipLib之前叫做NZipLib，完全由 C# 開發(fā)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(biāo)簽： SharpZipLib NZipLib
上傳時間： 2015-12-11
上傳用戶：love_stanford
This library allows creating, modifying and extracting zip archives in the compatible way with PKZIP (2.5 and higher) and WinZip. Supported are all possible operations on the zip archive: creating, extracting, adding, deleting files from the archive, modifications of the existing archive. There is also the support for creating and extracting multiple disk archives (on non-removable devices as well) and for password encryption and decryption. This module uses compression and decompression functions from zlib library by Jean-loup Gailly and Mark Adler.
標(biāo)簽： compatible extracting modifying creating
上傳時間： 2014-12-22
上傳用戶：chfanjiang
In this article, we present an overview of methods for sequential simulation from posterior distributions. These methods are of particular interest in Bayesian filtering for discrete time dynamic models that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed that unifies many of the methods which have been proposed over the last few decades in several different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin particular how to incorporate local linearisation methods similar to those which have previously been employed in the deterministic filtering literature these lead to very effective importance distributions. Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of the analytic structure present in some important classes of state-space models. In a final section we develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
標(biāo)簽： sequential simulation posterior overview
上傳時間： 2015-12-31
上傳用戶：225588
The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial and nancial problems. Although the Kalman lter is effective in the linear-Gaussian case, new methods of dealing with sequential data are required with non-standard models. Recently, there has been renewed interest in simulation-based techniques. The basic idea behind these techniques is that the current state of knowledge is encapsulated in a representative sample from the appropriate posterior distribution. As time goes on, the sample evolves and adapts recursively in accordance with newly acquired data. We give a critical review of recent developments, by reference to oil well monitoring, ion channel monitoring and tracking problems, and propose some alternative algorithms that avoid the weaknesses of the current methods.
標(biāo)簽： monitoring sequential industria accurate
上傳時間： 2013-12-17
上傳用戶：familiarsmile
％ A 2D homogeneous convection-diffusion case (u=exp(-ex*deta*x-ex*deta*y) with a square with ％ all Dirichlet boundary, note that reaction coefficient is not zero ％ by indirect BKM
標(biāo)簽： convection-diffusion deta with homogeneous
上傳時間： 2016-01-03
上傳用戶：CHINA526
很全的中斷手冊。 INT 00 - CPU-generated - DIVIDE ERROR INT 01 - CPU-generated - SINGLE STEP (80386+) - DEBUGGING EXCEPTIONS INT 02 - external hardware - NON-MASKABLE INTERRUPT INT 03 - CPU-generated - BREAKPOINT INT 04 - CPU-generated - INTO DETECTED OVERFLOW INT 05 - PRINT SCREEN CPU-generated (80186+) - BOUND RANGE EXCEEDED INT 06 - CPU-generated (80286+) - INVALID OPCODE INT 07 - CPU-generated (80286+) - PROCESSOR EXTENSION NOT AVAILABLE INT 08 - IRQ0 - SYSTEM TIMER CPU-generated (80286+) . . .
標(biāo)簽： CPU-generated INT DIVIDE SINGLE
上傳時間： 2013-12-27
上傳用戶：aa54
This program is copyrighted by it s author and you are granted a free license to use the program for non-commercial purposes. If you are interested in using the program for commercial purposes please contact Kevin W. Russell at CIS 71551,253 for licensing information.
標(biāo)簽： program copyrighted granted license
上傳時間： 2016-02-18
上傳用戶：wangzhen1990
On Sunday, April 27, 2003, Fresno will celebrate Earth Day in downtown Fresno at Courthouse Park. The event will begin at noon. This year we will include music, speakers, and vendors, plus activities for children. Fresno Earth Day is recognized as the only Earth Day festival that happens in Fresno, and the largest in the Central Valley. The Fresno Earth Day Committee is a small group of environmental activists hoping to broaden the appeal of a better planet and environment. We are a non-profit organization whose fiscal fiduciary is the Fresno Center for Nonviolence.
標(biāo)簽： Fresno Courthouse celebrate downtown
上傳時間： 2016-02-24
上傳用戶：cursor
Algorithms for the estimation of a channel whose impulse response is characterized by a large number of zero tap coefficients are developed and compared.
標(biāo)簽： characterized Algorithms estimation response
上傳時間： 2013-12-26
上傳用戶：manking0408
Uniform random number generators by Agner Fog, 2001 - 2007 randomc.zip contains a C++ class library of uniform random number generators of good quality. The random number generators found in standard libraries are often of a poor quality, insufficient for large Monte Carlo calculations. This C++ implementation provides random number generators of a much better quality: Better randomness, higher resolution, and longer cycle lengths. The same random number generators are available as libraries coded in assembly language for higher speed. These libraries can be linked into projects coded in other programming languages under Windows, Linux, BSD, etc. The library files are available in the archive asmlib.zip. Non-uniform random number generators are provided in stocc.zip.
標(biāo)簽： generators contains Uniform randomc
上傳時間： 2014-12-01
上傳用戶：royzhangsz
蟲蟲下載站版權(quán)所有 京ICP備2021023401號-1
