kmath/kmath-tensors/space.kscience.kmath.tensors.core/svd.html

67 lines
7.4 KiB
HTML

<!doctype html>
<html>
<head>
<meta name="viewport" content="width=device-width, initial-scale=1" charset="UTF-8">
<title>svd</title>
<link href="../../images/logo-icon.svg" rel="icon" type="image/svg"><script>var pathToRoot = "../../";</script> <script>const storage = localStorage.getItem("dokka-dark-mode")
if (storage == null) {
const osDarkSchemePreferred = window.matchMedia && window.matchMedia('(prefers-color-scheme: dark)').matches
if (osDarkSchemePreferred === true) {
document.getElementsByTagName("html")[0].classList.add("theme-dark")
}
} else {
const savedDarkMode = JSON.parse(storage)
if(savedDarkMode === true) {
document.getElementsByTagName("html")[0].classList.add("theme-dark")
}
}
</script>
<script type="text/javascript" src="../../scripts/sourceset_dependencies.js" async></script>
<link href="../../styles/style.css" rel="Stylesheet">
<link href="../../styles/jetbrains-mono.css" rel="Stylesheet">
<link href="../../styles/main.css" rel="Stylesheet">
<link href="../../styles/prism.css" rel="Stylesheet">
<link href="../../styles/logo-styles.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" defer></script>
<script type="text/javascript" src="../../scripts/prism.js" async></script>
<script type="text/javascript" src="../../scripts/symbol-parameters-wrapper_deferred.js" defer></script></head>
<body>
<div class="navigation-wrapper" id="navigation-wrapper">
<div id="leftToggler"><span class="icon-toggler"></span></div>
<div class="library-name">
<a href="../../index.html">
<span>kmath</span> </a> </div>
<div>0.3.1-dev-RC
</div>
<div class="pull-right d-flex">
<div class="filter-section" id="filter-section">
<button class="platform-tag platform-selector common-like" data-active="" data-filter=":kmath-tensors:dokkaHtmlPartial/commonMain">common</button>
</div>
<button id="theme-toggle-button"><span id="theme-toggle"></span></button>
<div id="searchBar"></div>
</div>
</div>
<div id="container">
<div id="leftColumn">
<div id="sideMenu"></div>
</div>
<div id="main">
<div class="main-content" data-page-type="member" id="content" pageids="kmath-tensors::space.kscience.kmath.tensors.core//svd/space.kscience.kmath.tensors.core.DoubleTensorAlgebra#space.kscience.kmath.nd.StructureND[kotlin.Double]#kotlin.Double/PointingToDeclaration//-1345790395">
<div class="breadcrumbs"><a href="../index.html">kmath-tensors</a><span class="delimiter">/</span><a href="index.html">space.kscience.kmath.tensors.core</a><span class="delimiter">/</span><span class="current">svd</span></div>
<div class="cover ">
<h1 class="cover"><span><span>svd</span></span></h1>
</div>
<div class="platform-hinted " data-platform-hinted="data-platform-hinted"><div class="content sourceset-dependent-content" data-active="" data-togglable=":kmath-tensors:dokkaHtmlPartial/commonMain"><div class="symbol monospace"><span class="token keyword"></span><span class="token keyword">fun </span><a href="-double-tensor-algebra/index.html">DoubleTensorAlgebra</a><span class="token punctuation">.</span><a href="svd.html"><span class="token function">svd</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">structureND<span class="token operator">: </span><a href="../../kmath-core/space.kscience.kmath.nd/-structure-n-d/index.html">StructureND</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></span><span class="parameter ">epsilon<span class="token operator">: </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-double/index.html">Double</a></span></span><span class="token punctuation">)</span><span class="token operator">: </span><a href="https://kotlinlang.org/api/latest/jvm/stdlib/kotlin/-triple/index.html">Triple</a><span class="token operator">&lt;</span><span class="token keyword"></span><a href="../../kmath-core/space.kscience.kmath.nd/-structure-n-d/index.html">StructureND</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><span class="token keyword"></span><a href="../../kmath-core/space.kscience.kmath.nd/-structure-n-d/index.html">StructureND</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><span class="token keyword"></span><a href="../../kmath-core/space.kscience.kmath.nd/-structure-n-d/index.html">StructureND</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><span class="clearfix"><span class="floating-right">(<a href="https://github.com/SciProgCentre/kmath/tree/master/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorOps.kt#L181">source</a>)</span></span></div><p class="paragraph">Singular Value Decomposition.</p><p class="paragraph">Computes the singular value decomposition of either a matrix or batch of matrices <code class="lang-kotlin">input</code>. The singular value decomposition is represented as a triple <code class="lang-kotlin">Triple(U, S, V)</code>, such that <code class="lang-kotlin">input == U dot diagonalEmbedding(S) dot V.transpose()</code>. If <code class="lang-kotlin">input</code> is a batch of tensors, then U, S, and Vh are also batched with the same batch dimensions as `input.</p><span class="kdoc-tag"><h4 class="">Receiver</h4><p class="paragraph">the <code class="lang-kotlin">input</code>.</p></span><span class="kdoc-tag"><h4 class="">Return</h4><p class="paragraph">a triple <code class="lang-kotlin">Triple(U, S, V)</code>.</p></span><h4 class="">Parameters</h4><div class="table"><div class="table-row" data-filterable-current=":kmath-tensors:dokkaHtmlPartial/commonMain" data-filterable-set=":kmath-tensors:dokkaHtmlPartial/commonMain"><div class="main-subrow keyValue "><div class=""><span class="inline-flex"><div><u><span><span>epsilon</span></span></u></div></span></div><div><div class="title"><p class="paragraph">permissible error when calculating the dot product of vectors i.e., the precision with which the cosine approaches 1 in an iterative algorithm.</p></div></div></div></div></div></div></div>
</div>
<div class="footer">
<span class="go-to-top-icon"><a href="#content" id="go-to-top-link"></a></span><span>© 2023 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>
</div>
</div>
</body>
</html>