kmath/kmath-tensors/space.kscience.kmath.tensors.core/lu-pivot.html

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<div class="main-content" data-page-type="member" id="content" pageids="kmath-tensors::space.kscience.kmath.tensors.core//luPivot/space.kscience.kmath.tensors.core.DoubleTensorAlgebra#space.kscience.kmath.nd.StructureND[kotlin.Double]#space.kscience.kmath.nd.MutableStructureND[kotlin.Int]/PointingToDeclaration//-1345790395">
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<h1 class="cover"><span>lu</span><wbr><span><span>Pivot</span></span></h1>
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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-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="lu-pivot.html"><span class="token function">luPivot</span></a><span class="token punctuation">(</span><span class="parameters "><span class="parameter ">luTensor<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 ">pivotsTensor<span class="token operator">: </span><a href="../space.kscience.kmath.tensors.api/index.html#-1680022905%2FClasslikes%2F-1345790395">Tensor</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></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="-double-tensor/index.html">DoubleTensor</a><span class="token punctuation">, </span><span class="token keyword"></span><a href="-double-tensor/index.html">DoubleTensor</a><span class="token punctuation">, </span><span class="token keyword"></span><a href="-double-tensor/index.html">DoubleTensor</a><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#L88">source</a>)</span></span></div><p class="paragraph">Unpacks the data and pivots from a LU factorization of a tensor. Given a tensor <a href="lu-pivot.html">luTensor</a>, return tensors <code class="lang-kotlin">Triple(P, L, U)</code> satisfying <code class="lang-kotlin">P dot luTensor = L dot U</code>, with <code class="lang-kotlin">P</code> being a permutation matrix or batch of matrices, <code class="lang-kotlin">L</code> being a lower triangular matrix or batch of matrices, <code class="lang-kotlin">U</code> being an upper triangular matrix or batch of matrices.</p><span class="kdoc-tag"><h4 class="">Return</h4><p class="paragraph">triple of <code class="lang-kotlin">P</code>, <code class="lang-kotlin">L</code> and <code class="lang-kotlin">U</code> tensors</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>lu</span><wbr><span><span>Tensor</span></span></u></div></span></div><div><div class="title"><p class="paragraph">the packed LU factorization data</p></div></div></div></div><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>pivots</span><wbr><span><span>Tensor</span></span></u></div></span></div><div><div class="title"><p class="paragraph">the packed LU factorization pivots</p></div></div></div></div></div></div></div>
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