PROPACK - Software for large and sparse SVD calculations
Matlab® version: Version 1.1 (March 2004): PROPACK_1.1_Matlab.tar.gz Version 1.0 (1998): PROPACK.tar.gz An overview of the Matlab toolbox is given here. The Matlab routines come with detailed on-line documentation, which can be read by typing "help " at the Matlab prompt. The online documentation for the 4 main routines can be reached via the links below: lanbpro.m: Lanczos bidiagonalization with
Lire | SemanticMetadata.net
An Open Source Java Content Based Image Retrieval Library The LIRE (Lucene Image REtrieval) library provides a simple way to retrieve images and photos based on their color and texture characteristics. LIRE creates a Lucene index of image features for content based image retrieval (CBIR). Several different low level features are available, such as MPEG-7 ScalableColor, ColorLayout, and EdgeHistogr
未æ¥ã¸éŽåŽ»ã¸ã€‚時をæ“ã‚‹Rubyライブラリ·Delorean MOONGIFT
Deloreanã¯Ruby用ã®ã‚ªãƒ¼ãƒ—ンソース・ソフトウェア。デãƒãƒªã‚¢ãƒ³ã¨è¨€ã£ã¦æ€ã„出ã™ã®ã¯ãƒžã‚¤ã‚±ãƒ«Jフォックス主演ã®æ˜ ç”»ã€ãƒãƒƒã‚¯ãƒˆã‚¥ã‚¶ãƒ•ãƒ¥ãƒ¼ãƒãƒ£ãƒ¼ã ã‚ã†ã€‚ã‚ã®è‡ªå‹•è»Šåž‹ã‚¿ã‚¤ãƒ マシンã¯ã€ç©ºã‚’飛んã り路上ã«ç‡ƒãˆã‚‹ã‚¿ã‚¤ãƒ¤è·¡ã‚’残ã—ãŸã‚Šã¨ã€å供心ã«èˆˆå¥®ã•ã›ã‚‰ã‚ŒãŸã€‚ 時間を自在ã«æ“作ã™ã‚‹ Deloreanã¨ã„ã†ãƒ©ã‚¤ãƒ–ラリã¯ã“ã®ãƒ‡ãƒãƒªã‚¢ãƒ³ã‹ã‚‰æ¥ã¦ã„る。ã™ã¹ãã“ã¨ã¯ã‚‚ã¡ã‚ん時をæ“ã‚‹ã“ã¨ã«ã‚る。今時ã®æ™‚é–“ã«ã‚ˆã£ã¦ãƒ‡ãƒ¼ã‚¿ã‚’制御ã—ã¦ã„るシステムãªã©ã§ã€ãã£ã¨æ´»èºã—ã¦ãれるã“ã¨ã ã‚ã†ã€‚ よãã‚ã‚‹ã®ã¯ç¾åœ¨ã‚ˆã‚ŠéŽåŽ»ã§ã‚ã‚Œã°ãƒ‡ãƒ¼ã‚¿ã‚’表示ã™ã‚‹ã¨è¨€ã£ãŸä½¿ã„æ–¹ã 。ç¾åœ¨æ™‚刻ã«ã‚ˆã£ã¦ãƒ‡ãƒ¼ã‚¿ãŒè¡¨ç¤ºã•ã‚ŒãŸã‚Šã€é€†ã«ã•ã‚Œãªã‹ã£ãŸã‚Šã™ã‚‹ã®ã§éžå¸¸ã«ãƒ†ã‚¹ãƒˆãŒã—ã¥ã‚‰ã„。今日ã®ãƒ‡ãƒ¼ã‚¿ã ã‘を出ã™ã¨è¨€ã£ãŸå ´åˆã‚‚åŒæ§˜ã 。泣ãæ³£ã引数ã«æ™‚åˆ»ã‚’è¿½åŠ ã—ãŸã‚Šã™ã‚‹ã®ã¯ã‚ˆãã‚ã‚‹ã“ã¨ã 。 ãã‚“ãªæ™‚ã«ä½¿ãˆã‚‹ã®ãŒDeloreanã«ãªã‚‹ã€‚Deloreanを使ã„ã€time_t
並列イベント駆動I/Oフレームワーク「mpioã€ãƒªãƒªãƒ¼ã‚¹ - Blog by Sadayuki Furuhashi
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OOQP: Object-Oriented Software for Quadratic Programming
OOQP is an object-oriented C++ package, based on a primal-dual interior-point method, for solving convex quadratic programming problems (QPs). It contains code that can be used "out of the box" to solve a variety of structured QPs, including general sparse QPs, QPs arising from support vector machines, Huber regression problems, and QPs with bound constraints. OOQP also can be used as a framework
Welcome - OpenOpt
You may be interested in our amazing software, alternative to commercial frameworks with obsolete and/or banausic programming constructs. It is completely free (license: BSD) and cross-platform (Linux, Windows, Mac etc) Python language modules. The software is published quarterly since 2007 and already has some essential applications. We expect it to become even more popular when NumPy will got fu
Lapack++: Lapack++ v2.5.2 API Documentation
Homepage: http://www.sourceforge.net/projects/lapackpp Download page: http://sourceforge.net/project/showfiles.php?group_id=99696 LAPACK++ is a library for high performance linear algebra computations. This version includes support for solving linear systems using LU, Cholesky, QR matrix factorizations, and symmetric eigenvalue problems. Quick Start The most important classes in this library are L
数値計算マニュアル：線型代数 (3)
ã“ã®ãƒšãƒ¼ã‚¸ã«ã¤ã„㦠ã“ã®ãƒšãƒ¼ã‚¸ã«é–¢ã™ã‚‹è³ªå•ã‚„コメントã¯ãŠæ°—軽ã«ä»¥ä¸‹ã®ãƒ¡ãƒ¼ãƒ«ã‚¢ãƒ‰ãƒ¬ã‚¹ã¾ã§ï¼Ž リンクã¯å¾¡è‡ªç”±ã«ã©ã†ãžï¼Ž æ›´æ–°å±¥æ´ã¨ç›®æ¬¡ æ›´æ–°å±¥æ´ 2008-11-28 ページを公開ã—ã¾ã—ãŸï¼Ž 目次 ã¯ã˜ã‚㫠利用ã®å‰ã« 関数ã®ä»•æ§˜ 計算時間ã«ã¤ã„㦠最å°å›ºæœ‰å€¤ã®è¨ˆç®—ã«ã¤ã„㦠サンプルコード ã¯ã˜ã‚ã« ã“ã®ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ã«ã¤ã„㦠ã“ã®ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ã¯å¤§è¦æ¨¡å›ºæœ‰å€¤è¨ˆç®—ライブラリã§ã‚ã‚‹ARPACKã‚’C言語ã‹ã‚‰åˆ©ç”¨ã™ã‚‹æ–¹æ³•ã«ã¤ã„ã¦è¨˜è¿°ã—ãŸã‚‚ã®ã§ã™ï¼Ž 行列ã®è¦æ¨¡ãŒå°ã•ã„å ´åˆã¯LAPACK (b)㮠固有値å•é¡Œï¼Œ 特異値å•é¡Œï¼Œ 一般化固有値å•é¡Œç‰ã‚’å‚ç…§ã—ã¦ãã ã•ã„． ARPACKã¨ã¯ ARPACKã¯ARnoldi PACKageã®ç•¥ã§Fortranã§é–‹ç™ºã•ã‚ŒãŸå¤§è¦æ¨¡å›ºæœ‰å€¤è¨ˆç®—ライブラリ群ã§ã™ï¼Ž 極端ã«å¤§è¦æ¨¡ã§ã‚ã£ãŸã‚Šï¼Œ ç–Žã§ã‚ã‚‹ãªã©ã®ç†ç”±ã§ä¸‰é‡å¯¾è§’化を行ã†ã“ã¨ãŒé©åˆ‡ã§ãªã„行列ã®å›ºæœ‰å€¤å•é¡Œã‚’解ãå ´åˆã«åˆ©ç”¨ã•ã‚Œã¾ã™ï¼Ž
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Machine Learning Project at the University of Waikato in New Zealand
Machine learning (ML) enables computers to analyse data and decide what information is most relevant, facilitating fast and accurate decision making. Our Objectives To develop improved algorithms for ML. To make ML techniques generally available. To apply ML to practical problems in Aotearoa. Software Staff and students at Waikato have developed a software workbench called Weka, for Waikato Enviro
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