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<div class="breadcrumbs"><a href="../../index.html">kmath-stat</a><span class="delimiter">/</span><a href="../index.html">space.kscience.kmath.samplers</a><span class="delimiter">/</span><span class="current">AliasMethodDiscreteSampler</span></div>
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<h1 class="cover"><span>Alias</span><wbr><span>Method</span><wbr><span>Discrete</span><wbr><span><span>Sampler</span></span></h1>
<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-dependent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace"><span class="token keyword">open </span><span class="token keyword">class </span><a href="index.html">AliasMethodDiscreteSampler</a> : <a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a><span class="token operator">&gt; </span><span class="clearfix"><span class="floating-right">(<a href="https://github.com/SciProgCentre/kmath/tree/master/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt#L43">source</a>)</span></span></div><p class="paragraph">Distribution sampler that uses the Alias method. It can be used to sample from n values each with an associated probability. This implementation is based on the detailed explanation of the alias method by Keith Schartz and implements Vose's algorithm.</p><p class="paragraph">Vose, M.D., A linear algorithm for generating random numbers with a given distribution, IEEE Transactions on Software Engineering, 17, 972-975, 1991. The algorithm will sample values in O(1) time after a pre-processing step of O(n) time.</p><p class="paragraph">The alias tables are constructed using fraction probabilities with an assumed denominator of 253. In the generic case sampling uses UniformRandomProvider.nextInt(int) and the upper 53-bits from UniformRandomProvider.nextLong().</p><p class="paragraph">Zero padding the input probabilities can be used to make more sampling more efficient. Any zero entry will always be aliased removing the requirement to compute a long. Increased sampling speed comes at the cost of increased storage space. The algorithm requires approximately 12 bytes of storage per input probability, that is n * 12 for size n. Zero-padding only requires 4 bytes of storage per padded value as the probability is known to be zero.</p><p class="paragraph">An optimisation is performed for small table sizes that are a power of 2. In this case the sampling uses 1 or 2 calls from UniformRandomProvider.nextInt() to generate up to 64-bits for creation of an 11-bit index and 53-bits for the long. This optimisation requires a generator with a high cycle length for the lower order bits.</p><p class="paragraph">Larger table sizes that are a power of 2 will benefit from fast algorithms for UniformRandomProvider.nextInt(int) that exploit the power of 2.</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/AliasMethodDiscreteSampler.html.</p></div></div>
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<h2 class="">Types</h2>
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<h2 class="">Functions</h2>
<div class="table"><a data-name="829807022%2FFunctions%2F-443365019" anchor-label="AliasMethodDiscreteSampler" id="829807022%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>
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<div><a href="-alias-method-discrete-sampler.html"><span>Alias</span><wbr><span>Method</span><wbr><span>Discrete</span><wbr><span><span>Sampler</span></span></a></div>
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<div><a href="../../space.kscience.kmath.stat/next.html"><span><span>next</span></span></a></div>
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<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-dependent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace"><span class="token keyword">suspend </span><span class="token keyword">fun </span><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../space.kscience.kmath.stat/next.html">T</a><span class="token operator"> : </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-any/index.html">Any</a><span class="token operator">&gt; </span><a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../space.kscience.kmath.stat/next.html">T</a><span class="token operator">&gt;</span><span class="token punctuation">.</span><a href="../../space.kscience.kmath.stat/next.html"><span class="token function">next</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">generator<span class="token operator">: </span><a href="../../space.kscience.kmath.random/-random-generator/index.html">RandomGenerator</a></span></span><span class="token punctuation">)</span><span class="token operator">: </span><a href="../../space.kscience.kmath.stat/next.html">T</a></div><div class="brief "><p class="paragraph">Samples one value from this <a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a>.</p></div></div></div>
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<a data-name="12250362%2FFunctions%2F-443365019" anchor-label="nextBuffer" id="12250362%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>
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<a data-name="587054743%2FFunctions%2F-443365019" anchor-label="sample" id="587054743%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>
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<div class="main-subrow keyValue ">
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<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-dependent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace"><span class="token keyword">open </span><span class="token keyword">override </span><span class="token keyword">fun </span><a href="sample.html"><span class="token function">sample</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">generator<span class="token operator">: </span><a href="../../space.kscience.kmath.random/-random-generator/index.html">RandomGenerator</a></span></span><span class="token punctuation">)</span><span class="token operator">: </span><a href="../../../kmath-coroutines/space.kscience.kmath.chains/-chain/index.html">Chain</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a><span class="token operator">&gt;</span></div><div class="brief "><p class="paragraph">Generates a chain of samples.</p></div></div></div>
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<a data-name="-789832458%2FFunctions%2F-443365019" anchor-label="sampleBuffer" id="-789832458%2FFunctions%2F-443365019" data-filterable-set=":kmath-stat:dokkaHtmlPartial/commonMain"></a>
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<div class="main-subrow keyValue ">
<div class=""><span class="inline-flex">
<div><a href="../../space.kscience.kmath.stat/sample-buffer.html"><span>sample</span><wbr><span><span>Buffer</span></span></a></div>
<span class="anchor-wrapper"><span class="anchor-icon" pointing-to="-789832458%2FFunctions%2F-443365019"></span>
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<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-dependent-content" data-active="" data-togglable=":kmath-stat:dokkaHtmlPartial/commonMain"><div class="symbol monospace"><div class="block"><div class="block"><span class="token annotation builtin">@</span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin.jvm/-jvm-name/index.html"><span class="token annotation builtin">JvmName</span></a><span class="token punctuation">(</span><span>name<span class="token operator"> = </span><span class="breakable-word"><span class="token string">"sampleRealBuffer"</span></span></span><wbr><span class="token punctuation">)</span></div></div><span class="token keyword"></span><span class="token keyword">fun </span><a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-double/index.html">Double</a><span class="token operator">&gt;</span><span class="token punctuation">.</span><a href="../../space.kscience.kmath.stat/sample-buffer.html"><span class="token function">sampleBuffer</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">generator<span class="token operator">: </span><a href="../../space.kscience.kmath.random/-random-generator/index.html">RandomGenerator</a><span class="token punctuation">, </span></span><span class="parameter ">size<span class="token operator">: </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a></span></span><span class="token punctuation">)</span><span class="token operator">: </span><a href="../../../kmath-coroutines/space.kscience.kmath.chains/-chain/index.html">Chain</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../../kmath-core/space.kscience.kmath.structures/-buffer/index.html">Buffer</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-double/index.html">Double</a><span class="token operator">&gt;</span><span class="token operator">&gt;</span></div><div class="brief "><p class="paragraph">Generates <a href="../../space.kscience.kmath.stat/sample-buffer.html">size</a> real samples and chunks them into some buffers.</p></div><div class="symbol monospace"><div class="block"><div class="block"><span class="token annotation builtin">@</span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin.jvm/-jvm-name/index.html"><span class="token annotation builtin">JvmName</span></a><span class="token punctuation">(</span><span>name<span class="token operator"> = </span><span class="breakable-word"><span class="token string">"sampleIntBuffer"</span></span></span><wbr><span class="token punctuation">)</span></div></div><span class="token keyword"></span><span class="token keyword">fun </span><a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a><span class="token operator">&gt;</span><span class="token punctuation">.</span><a href="../../space.kscience.kmath.stat/sample-buffer.html"><span class="token function">sampleBuffer</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">generator<span class="token operator">: </span><a href="../../space.kscience.kmath.random/-random-generator/index.html">RandomGenerator</a><span class="token punctuation">, </span></span><span class="parameter ">size<span class="token operator">: </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a></span></span><span class="token punctuation">)</span><span class="token operator">: </span><a href="../../../kmath-coroutines/space.kscience.kmath.chains/-chain/index.html">Chain</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../../kmath-core/space.kscience.kmath.structures/-buffer/index.html">Buffer</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a><span class="token operator">&gt;</span><span class="token operator">&gt;</span></div><div class="brief "><p class="paragraph">Generates <a href="../../space.kscience.kmath.stat/sample-buffer.html">size</a> integer samples and chunks them into some buffers.</p></div><div class="symbol monospace"><span class="token keyword"></span><span class="token keyword">fun </span><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../space.kscience.kmath.stat/sample-buffer.html">T</a><span class="token operator"> : </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-any/index.html">Any</a><span class="token operator">&gt; </span><a href="../../space.kscience.kmath.stat/-sampler/index.html">Sampler</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../space.kscience.kmath.stat/sample-buffer.html">T</a><span class="token operator">&gt;</span><span class="token punctuation">.</span><a href="../../space.kscience.kmath.stat/sample-buffer.html"><span class="token function">sampleBuffer</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">generator<span class="token operator">: </span><a href="../../space.kscience.kmath.random/-random-generator/index.html">RandomGenerator</a><span class="token punctuation">, </span></span><span class="parameter ">size<span class="token operator">: </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-int/index.html">Int</a><span class="token punctuation">, </span></span><span class="parameter ">bufferFactory<span class="token operator">: </span><a href="../../../kmath-core/space.kscience.kmath.structures/-buffer-factory/index.html">BufferFactory</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../space.kscience.kmath.stat/sample-buffer.html">T</a><span class="token operator">&gt;</span><span class="token operator"> = </span>BufferFactory.boxing()</span></span><span class="token punctuation">)</span><span class="token operator">: </span><a href="../../../kmath-coroutines/space.kscience.kmath.chains/-chain/index.html">Chain</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../../kmath-core/space.kscience.kmath.structures/-buffer/index.html">Buffer</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../space.kscience.kmath.stat/sample-buffer.html">T</a><span class="token operator">&gt;</span><span class="token operator">&gt;</span></div><div class="brief "><p class="paragraph">Sample a bunch of values</p></div></div></div>
</div>
</div>
</div>
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