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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" > NormalizedGaussianSampler< / a > < / div >
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< h1 class = "cover" > < span > Normalized< / span > < wbr > < span > Gaussian< / span > < wbr > < span > < span > Sampler< / span > < / span > < / h1 >
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< div class = "content sourceset-depenent-content" data-active = "" data-togglable = ":kmath-stat:dokkaHtmlPartial/commonMain" > < div class = "symbol monospace" > < span class = "token keyword" > fun < / span > < span class = "token keyword" > interface < / span > < a href = "index.html" > NormalizedGaussianSampler< / a > : < a href = "../-blocking-double-sampler/index.html" > BlockingDoubleSampler< / 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" > Marker interface for a sampler that generates values from an N(0,1) < a href = "https://en.wikipedia.org/wiki/Normal_distribution" > Gaussian distribution< / a > .< / p > < / div > < / div >
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< div class = "content sourceset-depenent-content" data-active = "" data-togglable = ":kmath-stat:dokkaHtmlPartial/commonMain" > < div class = "symbol monospace" > < span class = "token keyword" > abstract < / span > < span class = "token keyword" > override < / span > < span class = "token keyword" > fun < / span > < a href = "../-blocking-double-sampler/sample.html" > < span class = "token function" > sample< / span > < / a > < span class = "token punctuation" > (< / span > generator< span class = "token operator" > : < / span > < a href = "../../space.kscience.kmath.stat/-random-generator/index.html" > RandomGenerator< / a > < span class = "token punctuation" > )< / span > < span class = "token operator" > : < / span > < 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 class = "brief " > < p class = "paragraph" > Generates a chain of samples.< / p > < / div > < / div > < / div >
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< div class = "table" data-togglable = "Inheritors" > < a data-name = "675750573%2FInheritors%2F-443365019" anchor-label = "BoxMullerSampler" id = "675750573%2FInheritors%2F-443365019" data-filterable-set = ":kmath-stat:dokkaHtmlPartial/commonMain" > < / a >
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< div > < a href = "../-box-muller-sampler/index.html" > BoxMullerSampler< / a > < / div >
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< a data-name = "1017372936%2FInheritors%2F-443365019" anchor-label = "MarsagliaNormalizedGaussianSampler" id = "1017372936%2FInheritors%2F-443365019" data-filterable-set = ":kmath-stat:dokkaHtmlPartial/commonMain" > < / a >
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< div > < a href = "../-marsaglia-normalized-gaussian-sampler/index.html" > MarsagliaNormalizedGaussianSampler< / a > < / div >
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< a data-name = "819348150%2FInheritors%2F-443365019" anchor-label = "ZigguratNormalizedGaussianSampler" id = "819348150%2FInheritors%2F-443365019" data-filterable-set = ":kmath-stat:dokkaHtmlPartial/commonMain" > < / a >
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< div > < a href = "../-ziggurat-normalized-gaussian-sampler/index.html" > ZigguratNormalizedGaussianSampler< / a > < / div >
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