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75 lines
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<title>ZigguratNormalizedGaussianSampler</title>
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</head><body><link href="../../../../../images/logo-icon.svg" rel="icon" type="image/svg"><script>var pathToRoot = "../../../";</script><script type="text/javascript" src="../../../scripts/sourceset_dependencies.js" async></script><link href="../../../styles/style.css" rel="Stylesheet"><link href="../../../styles/logo-styles.css" rel="Stylesheet"><link href="../../../styles/jetbrains-mono.css" rel="Stylesheet"><link href="../../../styles/main.css" rel="Stylesheet"><script type="text/javascript" src="../../../scripts/clipboard.js" async></script><script type="text/javascript" src="../../../scripts/navigation-loader.js" async></script><script type="text/javascript" src="../../../scripts/platform-content-handler.js" async></script><script type="text/javascript" src="../../../scripts/main.js" async></script>
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<div class="main-content" id="content" pageids="kmath-stat::space.kscience.kmath.samplers/ZigguratNormalizedGaussianSampler///PointingToDeclaration//-443365019">
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<div class="breadcrumbs"><a href="../../index.html">kmath-stat</a>/<a href="../index.html">space.kscience.kmath.samplers</a>/<a href="index.html">ZigguratNormalizedGaussianSampler</a></div>
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<h1 class="cover"><span>Ziggurat</span><wbr><span>Normalized</span><wbr><span>Gaussian</span><wbr><span>Sampler</span></h1>
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<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-depenent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace">object <a href="index.html">ZigguratNormalizedGaussianSampler</a> : <a href="../-normalized-gaussian-sampler/index.html">NormalizedGaussianSampler</a><span class="top-right-position"><span class="copy-icon"></span><div class="copy-popup-wrapper popup-to-left"><span class="copy-popup-icon"></span><span>Content copied to clipboard</span></div></span></div><p class="paragraph"><a href="https://en.wikipedia.org/wiki/Ziggurat_algorithm">Marsaglia and Tsang "Ziggurat"</a> method for sampling from a Gaussian distribution with mean 0 and standard deviation 1. The algorithm is explained in this paper and this implementation has been adapted from the C code provided therein.</p><p class="paragraph">Based on Commons RNG implementation. See https://commons.apache.org/proper/commons-rng/commons-rng-sampling/apidocs/org/apache/commons/rng/sampling/distribution/ZigguratNormalizedGaussianSampler.html.</p></div></div>
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<div class="tabs-section" tabs-section="tabs-section"><button class="section-tab" data-active="" data-togglable="Functions">Functions</button><button class="section-tab" data-togglable="Sources">Sources</button></div>
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<h2 class="">Functions</h2>
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<div class="table" data-togglable="Functions"><a data-name="695492037%2FFunctions%2F-443365019" anchor-label="sample" id="695492037%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>
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<div class=""><span class="inline-flex"><a href="sample.html">sample</a><span class="anchor-wrapper"><span class="anchor-icon" pointing-to="695492037%2FFunctions%2F-443365019"></span>
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<div class="copy-popup-wrapper "><span class="copy-popup-icon"></span><span>Link copied to clipboard</span></div>
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<div class="platform-tag common-like">common</div>
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<div class="title"><div class="divergent-group" data-filterable-current=":kmath-stat:dokkaHtmlPartial/commonMain" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="with-platform-tags"><span class="pull-right"></span></div>
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<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-depenent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace">open override fun <a href="sample.html">sample</a>(generator: <a href="../../space.kscience.kmath.stat/-random-generator/index.html">RandomGenerator</a>): <a href="../../../kmath-coroutines/space.kscience.kmath.chains/-blocking-double-chain/index.html">BlockingDoubleChain</a><span class="top-right-position"><span class="copy-icon"></span><div class="copy-popup-wrapper popup-to-left"><span class="copy-popup-icon"></span><span>Content copied to clipboard</span></div></span></div></div></div>
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<a data-name="695492037%2FFunctions%2F-443365019" anchor-label="sample" id="695492037%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a><div class="brief "><a data-name="695492037%2FFunctions%2F-443365019" anchor-label="sample" id="695492037%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>Generates a chain of samples.</div></div>
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<h2 class="">Sources</h2>
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<div class="table" data-togglable="Sources"><a data-name="819348150%2FSource%2F-443365019" anchor-label="https://github.com/mipt-npm/kmath/tree/master/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt#L14" id="819348150%2FSource%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>
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<div class=""><span class="inline-flex"><a href="https://github.com/mipt-npm/kmath/tree/master/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt#L14">common source</a><span class="anchor-wrapper"><span class="anchor-icon" pointing-to="819348150%2FSource%2F-443365019"></span>
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<div class="footer"><span class="go-to-top-icon"><a href="#content"></a></span><span>© 2021 Copyright</span><span class="pull-right"><span>Generated by </span><a href="https://github.com/Kotlin/dokka"><span>dokka</span><span class="padded-icon"></span></a></span></div>
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