{"id":464,"date":"2014-04-07T10:41:08","date_gmt":"2014-04-07T09:41:08","guid":{"rendered":"http:\/\/numbercrunch.de\/blog\/?p=464"},"modified":"2015-08-27T15:57:41","modified_gmt":"2015-08-27T14:57:41","slug":"new-trng-release-8","status":"publish","type":"post","link":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/","title":{"rendered":"New TRNG release"},"content":{"rendered":"<p style=\"text-align: justify;\">A new version of <a href=\"http:\/\/numbercrunch.de\/trng\">TRNG<\/a> (Tina\u2019s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.15 is a bug fix and maintenance release. Classes for random numbers with Maxwell distribution and Beta distribution have been added. If you need a modern C++ random number generator library for sequential or parallel Monte Carlo then check out <a href=\"http:\/\/numbercrunch.de\/trng\">TRNG 4.15<\/a> or fork it on <a href=\"https:\/\/github.com\/rabauke\/trng4\">Github<\/a>.<\/p>\n<figure id=\"attachment_467\" aria-describedby=\"caption-attachment-467\" style=\"width: 480px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/numbercrunch.de\/blog\/wp-content\/uploads\/2014\/04\/maxwell_dist.png\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-467\" alt=\"Histogram of 1000 random numbers drawn from a Maxwell distribution with parameter $\\theta=8$.\" src=\"\/\/numbercrunch.de\/blog\/wp-content\/uploads\/2014\/04\/maxwell_dist.png\" width=\"480\" height=\"362\" srcset=\"https:\/\/www.numbercrunch.de\/blog\/wp-content\/uploads\/2014\/04\/maxwell_dist.png 480w, https:\/\/www.numbercrunch.de\/blog\/wp-content\/uploads\/2014\/04\/maxwell_dist-300x226.png 300w\" sizes=\"(max-width: 480px) 100vw, 480px\" \/><\/a><figcaption id=\"caption-attachment-467\" class=\"wp-caption-text\">Histogram of 1000 random numbers drawn from a Maxwell distribution (with parameter $\\theta=8$) using the new class maxwell_dist from TRNG 4.15. Probability density indicated by black line.<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>A new version of TRNG (Tina\u2019s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.15 is a bug fix and maintenance release. Classes for&hellip; <a href=\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">New TRNG release<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-464","post","type-post","status-publish","format-standard","hentry","category-trng"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>New TRNG release - Number Crunch<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New TRNG release - Number Crunch\" \/>\n<meta property=\"og:description\" content=\"A new version of TRNG (Tina\u2019s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.15 is a bug fix and maintenance release. Classes for&hellip; Continue reading New TRNG release\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\" \/>\n<meta property=\"og:site_name\" content=\"Number Crunch\" \/>\n<meta property=\"article:published_time\" content=\"2014-04-07T09:41:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2015-08-27T14:57:41+00:00\" \/>\n<meta property=\"og:image\" content=\"\/\/numbercrunch.de\/blog\/wp-content\/uploads\/2014\/04\/maxwell_dist.png\" \/>\n<meta name=\"author\" content=\"Heiko Bauke\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Heiko Bauke\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\"},\"author\":{\"name\":\"Heiko Bauke\",\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413\"},\"headline\":\"New TRNG release\",\"datePublished\":\"2014-04-07T09:41:08+00:00\",\"dateModified\":\"2015-08-27T14:57:41+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\"},\"wordCount\":128,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413\"},\"articleSection\":[\"TRNG\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\",\"url\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\",\"name\":\"New TRNG release - Number Crunch\",\"isPartOf\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#website\"},\"datePublished\":\"2014-04-07T09:41:08+00:00\",\"dateModified\":\"2015-08-27T14:57:41+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.numbercrunch.de\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"New TRNG release\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#website\",\"url\":\"https:\/\/www.numbercrunch.de\/blog\/\",\"name\":\"Number Crunch\",\"description\":\"A computational science blog.\",\"publisher\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.numbercrunch.de\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413\",\"name\":\"Heiko Bauke\",\"logo\":{\"@id\":\"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"New TRNG release - Number Crunch","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/","og_locale":"en_US","og_type":"article","og_title":"New TRNG release - Number Crunch","og_description":"A new version of TRNG (Tina\u2019s Random Number Generator Library) has been released. TRNG may be utilized in sequential as well as in parallel Monte Carlo simulations. It does not depend on a specific parallelization technique, e.g., POSIX threads, MPI and others. The new version 4.15 is a bug fix and maintenance release. Classes for&hellip; Continue reading New TRNG release","og_url":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/","og_site_name":"Number Crunch","article_published_time":"2014-04-07T09:41:08+00:00","article_modified_time":"2015-08-27T14:57:41+00:00","og_image":[{"url":"\/\/numbercrunch.de\/blog\/wp-content\/uploads\/2014\/04\/maxwell_dist.png","type":"","width":"","height":""}],"author":"Heiko Bauke","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Heiko Bauke","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#article","isPartOf":{"@id":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/"},"author":{"name":"Heiko Bauke","@id":"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413"},"headline":"New TRNG release","datePublished":"2014-04-07T09:41:08+00:00","dateModified":"2015-08-27T14:57:41+00:00","mainEntityOfPage":{"@id":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/"},"wordCount":128,"commentCount":0,"publisher":{"@id":"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413"},"articleSection":["TRNG"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/","url":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/","name":"New TRNG release - Number Crunch","isPartOf":{"@id":"https:\/\/www.numbercrunch.de\/blog\/#website"},"datePublished":"2014-04-07T09:41:08+00:00","dateModified":"2015-08-27T14:57:41+00:00","breadcrumb":{"@id":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.numbercrunch.de\/blog\/2014\/04\/new-trng-release-8\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.numbercrunch.de\/blog\/"},{"@type":"ListItem","position":2,"name":"New TRNG release"}]},{"@type":"WebSite","@id":"https:\/\/www.numbercrunch.de\/blog\/#website","url":"https:\/\/www.numbercrunch.de\/blog\/","name":"Number Crunch","description":"A computational science blog.","publisher":{"@id":"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.numbercrunch.de\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Person","Organization"],"@id":"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/e73eab65b1721dd0c3d408edb887e413","name":"Heiko Bauke","logo":{"@id":"https:\/\/www.numbercrunch.de\/blog\/#\/schema\/person\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/posts\/464"}],"collection":[{"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/comments?post=464"}],"version-history":[{"count":5,"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/posts\/464\/revisions"}],"predecessor-version":[{"id":512,"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/posts\/464\/revisions\/512"}],"wp:attachment":[{"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/media?parent=464"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/categories?post=464"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.numbercrunch.de\/blog\/wp-json\/wp\/v2\/tags?post=464"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}