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BigDigits multiple-precision arithmetic source code
BigDigits is a free library of multiple-precision arithmetic routines written in ANSI C to carry out large natural number calculations as required in cryptography calculations. This code has been built using the algorithms in Knuth Vol 2 and Menezes as the primary references. New version 2.6 released 31 March 2016: see New in Latest Version below. 2020-04-08: If using on a 64-bit non-Windows platf
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New Instructions Supporting Large Integer Arithmetic on Intel® Architecture Processors white paper
327831 -001 New Instructions Supporting Large Integer Arithmetic on Intel® Architecture Processors August 2012 White Paper Erdinc Ozturk James Guilford Vinodh Gopal Wajdi Feghali IA Architects Intel Corporation New Instructions Supporting Large Integer Arithmetic on Intel® Architecture Processors 2 Executive Summary New instructions mulx, adcx and adox are being introduced on Intel® Architecture P
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Clasp Common Lisp is a dynamic language in which every top-level form needs to be evaluated in the top level environment. Clasp compiles Common Lisp code to bitcode files and then links them together into a shared library or an executable. When the library or the executable are loaded, each top-level form needs to be evaluated. This is until Clasp gains the ability to save a running environment to
Cloudera Blog
We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Background The generative AI landscape is evolving […] Read blog post
「Rã®è„†å¼±æ€§ã¨æ™®åŠåº¦ã«ã¤ã„ã¦ã€ - Inleiding tot de R-statistiek
先日，æŸçœŒã®è¾²æ¥è©¦é¨“å ´ã‹ã‚‰ã€ŒRã€ã‚’ “公的†ã«å°Žå…¥ã™ã‚‹éš›ã®å•é¡Œç‚¹ã«ã¤ã„ã¦å•ã„åˆã‚ã›ãŒã‚ã£ãŸï¼Žè©¦é¨“å ´ã®ã‚³ãƒ³ãƒ”ューター㫠R をインストールã—よã†ã¨ã—ãŸã‚‰ï¼Œã‚·ã‚¹ãƒ†ãƒ 管ç†è€…ã‹ã‚‰ã®ä»¥ä¸‹ã®è³ªå•ãŒã‚ã£ãŸãã†ã ： Rã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã¨ã—ã¦ã®ã€Œè„†å¼±æ€§ã€ã«å•é¡Œã¯ãªã„ã‹ï¼Ÿ 統計言語ã¨ã—ã¦ã®Rã®ã€Œæ™®åŠåº¦ã€ã‚’示ã™è¨¼æ‹ ã¯ãªã„ã‹ï¼Ÿ ã“ã®äºŒã¤ã®è³ªå•ã«ã¤ã„ã¦ã¯ï¼Œä»–ã®å…¬çš„æ©Ÿé–¢ã§ã‚‚ R インストールã«éš›ã—ã¦åŒæ§˜ã®çŠ¶æ³ãŒèµ·ã“ã‚Šãˆã‚‹ã¨è€ƒãˆã¦ï¼Œä¸‹è¨˜ã®å›žç”を用æ„ã—ãŸï¼š ã€Rã®è„†å¼±æ€§ã«ã¤ã„ã¦ã€‘ フリー・ソフトウェアã®Rã¯å›½éš›çš„ãªé–‹ç™ºãƒãƒ¼ãƒ （The R Project for Statistical Computing）ã«ã‚ˆã£ã¦ã—ã£ã‹ã‚Šã‚µãƒãƒ¼ãƒˆã•ã‚Œï¼Œé »ç¹ã«ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ã•ã‚Œã¦ã„る．ãã®ãƒ›ãƒ¼ãƒ ページ（CRAN: The Comprehensive R Archive Network）を通ã˜ã¦æœ€æ–°ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚’ã„ã¤ã§ã‚‚入手ã™ã‚‹ã“ã¨ãŒã§ãる．
局所的ãªè¿‘ä¼¼ã«ã‚ˆã‚‹MCMCã®é«˜é€ŸåŒ–論文をèªã‚“ã - xiangze's sparse blog
局所的ãªè¿‘ä¼¼ã«ã‚ˆã‚‹MCMCã®é«˜é€ŸåŒ–è«–æ–‡ãŒè©±é¡Œã«ãªã‚Šã¾ã—ãŸã€‚ http://japan.zdnet.com/article/35073667/ è«–æ–‡Accelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations ã‚’èªã‚“ã§ç†è§£ã—ãŸç¯„囲ã®å†…容を書ãã¾ã™ã€‚ アイデア 物ç†ç¾è±¡ã®ãƒ¢ãƒ‡ãƒ«ã¯(確率)微分方程å¼ã‚’使ã£ã¦æ›¸ã‹ã‚Œã¾ã™ãŒã€ãã®ãƒ‘ラメータãŒæœªçŸ¥ã®ã“ã¨ãŒå¤šãã€MCMCを使ã£ã¦ãƒ‘ラメータを推定ã™ã‚‹ã“ã¨ãŒè¡Œã‚ã‚Œã¦ã„ã¾ã™ã€‚ ã—ã‹ã—ç¾å®Ÿçš„ãªå•é¡Œã§ã¯ãƒ¢ãƒ‡ãƒ«ãŒå·¨å¤§ã«ãªã£ã¦ã€MCMCã®å„ステップã§ãれを評価ã™ã‚‹ã®ã¯è¨ˆç®—é‡ãŒå¤šããªã‚Šã™ãŽã¦ã—ã¾ã„ã¾ã™ã€‚ ãã“ã§ãƒ¢ãƒ‡ãƒ«ã‚’è¿‘ä¼¼ã™ã‚‹ã¨ã„ã†ã“ã¨ãªã®ã§ã™ãŒã€ã‚µãƒ³ãƒ—リングã«è¿‘ä¼¼ã—ãŸäº‹å¾Œåˆ†å¸ƒã‚’使ã†ã¨ã„ã†ã‚¢ã‚¤ãƒ‡ã‚¢ã¯Approximate Bayes
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ウェブベースアプリケーションã®ãŸã‚ã®Lisp
原文：Lisp for Web-Based Applications 普通ã®ã‚„ã¤ã‚‰ã®ä¸Šã‚’è¡Œã‘ã¸ã®ãƒªãƒ³ã‚¯ãŒslashdotã«ã‚¢ãƒƒãƒ—ã•ã‚ŒãŸå¾Œã«ã€ä½•äººã‹ã®èªè€…ã¯ã€ç§ãŸã¡ãŒViawebã§Lispを使ã£ãŸã“ã¨ã§å¾—られãŸå›ºæœ‰ã®æŠ€è¡“çš„ãªã‚¢ãƒ‰ãƒãƒ³ãƒ†ãƒ¼ã‚¸ã«ã¤ã„ã¦ã€ã•ã‚‰ã«è©³ã—ãèžããŸãŒã£ãŸã€‚ 興味をæŒã¤äººã®ãŸã‚ã«ã€ç§ãŒ2001å¹´4月ã«ãƒžã‚µãƒãƒ¥ãƒ¼ã‚»ãƒƒãƒ„州ケンブリッジã®BBNç ”ç©¶æ‰€ã§è¡Œã£ãŸè¬›æ¼”ã®è¦ç´„を以下ã«ç¤ºã™ã€‚ ウェブベースアプリケーションã®ãŸã‚ã®Lisp ãƒãƒ¼ãƒ« グレアム(ã“ã®ã‚¨ãƒƒã‚»ã‚¤ã¯2001å¹´4月ã«ãƒžã‚µãƒãƒ¥ãƒ¼ã‚»ãƒƒãƒ„州ケンブリッジã®BBNç ”ç©¶æ‰€ã§è¡Œã£ãŸè¬›æ¼”ã®è¦ç´„ã§ã‚ã‚‹) ãŠæœ›ã¿ã®ã©ã‚“ãªè¨€èªžã§ã‚‚ ウェブベースã®ã‚¢ãƒ—リケーションを書ãéš›ã«Lispを使ã†ç†ç”±ã®ä¸€ã¤ã¯ã€Lispを使ãˆã‚‹ã£ã¦ã“ã¨ã 。 自分ã®ã‚µãƒ¼ãƒã ã‘ã§å‹•ãソフトウェアを書ã„ã¦ã„ã‚‹ãªã‚‰ã€ã©ã‚“ãªè¨€èªžã‚’使ã†ã“ã¨ã ã£ã¦ã§ãる。 é•·ã„é–“ã€ã‚¢ãƒ—リケーションを書
第3回　Debian GNU/Linux 6.0ã§è©¦ã™KVM | gihyo.jp
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FreeBSD Handbook
trademarksFreeBSD is a registered trademark of the FreeBSD Foundation. IBM, AIX, OS/2, PowerPC, PS/2, S/390, and ThinkPad are trademarks of International Business Machines Corporation in the United States, other countries, or both. IEEE, POSIX, and 802 are registered trademarks of Institute of Electrical and Electronics Engineers, Inc. in the United States. Red Hat, RPM, are trademarks or register
BSD For Linux Users :: Intro
What is this? I run FreeBSD on my computers. A lot of my friends run Linux, or at least one of the distributions of it. Naturally, then, we agree that a Unix-style operating system is the right choice, but we disagree on which to use. It's been my impression that the BSD communit{y,ies}, in general, understand Linux far better than the Linux communit{y,ies} understand BSD. I have a few theories on
SWIG最新版ã§ä½¿ãˆã‚‹C++11機能一覧。 - graphics.hatenablog.com
毎回ドã‚ュメント確èªã™ã‚‹ã®ã—ã‚“ã©ã„ã‹ã‚‰ã€è‡ªåˆ†ã§ã–ã£ãã‚Šã¾ã¨ã‚ã¦ã¿ãŸã€‚ã‚ãã¾ã§è‡ªåˆ†ãŒç†è§£ã§ããŸç¯„囲内ã§ã®è¨˜è¿°ãªã®ã§ã€ãªã‚“ã‹å¤‰ãªã¨ã“ã‚ã£ãŸã‚‰æŒ‡æ‘˜ã—ã¦ã‚‚らãˆã‚‹ã¨å¬‰ã—ã„ã§ã™ã€‚ SWIG and C++11 C++11自体ã«ã¤ã„ã¦ã¯ã€ã“ã®ã‚ãŸã‚Šã‚’å‚ç…§ã™ã‚Œã°ã‚ˆã„ã‹ã¨ã€‚ More C++11 ゲーム開発者ã®ãŸã‚ã® C++11/C++14 "Effective Modern C++" ã‚’èªã‚“ã メモ。 - graphics.hatenablog.com 注記 「利用å¯å¦ã€ã®è§£é‡ˆ â—‹ 使ãˆã‚‹ ターゲットコード生æˆæ™‚ã«ç„¡è¦–ã•ã‚Œã‚‹ãŒã€æ„図ã—ãªã„挙動を起ã“ã•ãªã„ã¨æ€ã‚れる ç©æ¥µçš„ã«ä½¿ã£ã¦ã„ããŸã„ â–³ â—‹ã«ãªã‚‰ãªã„ケースãŒã‚ã‚‹ â—‹ã‚’æ„図ã—ã¦å®Ÿè£…ã•ã‚ŒãŸãŒãƒã‚°ãŒã‚ã‚‹ %renameç‰ã®å¯¾å‡¦ã‚’.iå´ã§è¡Œãˆã°ä½¿ãˆã‚‹ ターゲットコード生æˆæ™‚ã«ç„¡è¦–ã•ã‚Œã€æ„図ã—ãªã„挙動を起ã“ã™å¯èƒ½æ€§ãŒã‚ã‚‹ã¨æ€ã‚れる 生æˆã•ã‚Œã‚‹ã‚¿ãƒ¼ã‚²ãƒƒãƒˆã‚³ãƒ¼ãƒ‰ã‚’ãŠ
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Oiwa-kun v0.0.2(@kisa12012)ã•ã‚“ | Twitterã‹ã‚‰ã®è¿”信付ãツイート
http://www.ijircce.com/upload/2014/november/3_big.pdf
https://people.eecs.berkeley.edu/~fateman/papers/fftvsothers.pdf
Working with Big Numbers Using x86 Instructions
practical BigNum AVX/SSE possible?
How do I multiply two large numbers stored as strings in the C/C++ language?
BigNum
karatsuba multiplication c++ implementation - Google 検索
http://www.cburch.com/proj/karat/karat.txt
FAST C/C++ Implementation of the Karatsuba Multiplication algorithm. This is the only C++ implementation that I found online that uses straight C++ primitives to store data instead of std::vector or std::string objects. Because of this, it's pretty speedy
Karatsuba C++ Implementation
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