/dports/math/openturns/openturns-1.18/python/test/ |
H A D | t_Matrix_decomposition.py | 38 result1, u, v = matrix1.computeSVD(True) 40 result1, u, v = matrix1.computeSVD(False) 52 result1, u, v = matrix1.computeSVD(True) 54 result1, u, v = matrix1.computeSVD(False) 66 result1, u, v = matrix1.computeSVD(True)
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/dports/devel/spark/spark-2.1.1/mllib/src/test/scala/org/apache/spark/mllib/linalg/distributed/ |
H A D | IndexedRowMatrixSuite.scala | 127 val svd = A.computeSVD(n, computeU = true) 141 val svd = A.computeSVD(k, computeU = true) 152 A.computeSVD(-1)
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H A D | RowMatrixSuite.scala | 147 val svd = mat.computeSVD(k, computeU = true, 1e-9, 300, 1e-10, mode) 161 val svdWithoutU = mat.computeSVD(1, computeU = false, 1e-9, 300, 1e-10, mode) 171 val svd = mat.computeSVD(2, computeU = true, 1e-6, 300, 1e-10, mode) 183 mat.computeSVD(-1) 319 val svd = mat.computeSVD(1, computeU = true)
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/dports/math/openturns/openturns-1.18/lib/test/ |
H A D | t_Matrix_decomposition.cxx | 54 result1 = matrix1.computeSVD(u, vT, true); in testSVD() 62 result1 = matrix1.computeSVD(u, vT, false); in testSVD()
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/dports/devel/spark/spark-2.1.1/mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/ |
H A D | IndexedRowMatrix.scala | 157 def computeSVD( method 165 val svd = toRowMatrix().computeSVD(k, computeU, rCond)
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H A D | RowMatrix.scala | 186 def computeSVD( method 194 computeSVD(k, computeU, rCond, maxIter, tol, "auto") 211 private[mllib] def computeSVD(
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/dports/math/openturns/openturns-1.18/lib/src/Base/Type/ |
H A D | Matrix.cxx | 249 Point Matrix::computeSVD(Matrix & u, in computeSVD() function in Matrix 254 …return getImplementation()->computeSVD(*(u.getImplementation()), *(vT.getImplementation()), fullSV… in computeSVD()
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H A D | IdentityMatrix.cxx | 152 Point IdentityMatrix::computeSVD(Matrix & u, in computeSVD() function in IdentityMatrix
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H A D | MatrixImplementation.cxx | 1332 Point MatrixImplementation::computeSVD(MatrixImplementation & u, in computeSVD() function in MatrixImplementation
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/dports/devel/spark/spark-2.1.1/examples/src/main/scala/org/apache/spark/examples/mllib/ |
H A D | TallSkinnySVD.scala | 55 val svd = mat.computeSVD(mat.numCols().toInt)
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H A D | SVDExample.scala | 49 val svd: SingularValueDecomposition[RowMatrix, Matrix] = mat.computeSVD(5, computeU = true)
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/dports/math/openturns/openturns-1.18/lib/src/Base/Type/openturns/ |
H A D | IdentityMatrix.hxx | 103 Point computeSVD(Matrix & uOut,
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H A D | Matrix.hxx | 163 Point computeSVD(Matrix & uOut,
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H A D | MatrixImplementation.hxx | 256 Point computeSVD(MatrixImplementation & uOut,
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/dports/devel/spark/spark-2.1.1/examples/src/main/java/org/apache/spark/examples/mllib/ |
H A D | JavaSVDExample.java | 58 SingularValueDecomposition<RowMatrix, Matrix> svd = mat.computeSVD(3, true, 1.0E-9d); in main()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Process/ |
H A D | KarhunenLoeveSVDAlgorithm.cxx | 238 svd = C.computeSVD(Uc, VTc, false, false); in run() 283 svd = T.computeSVD(Uc, VTc, false, false); in run() 303 svd = designMatrix.computeSVD(U, Vt, false, false); in run()
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/dports/biology/gatk/gatk-4.2.0.0/src/main/java/org/broadinstitute/hellbender/utils/svd/ |
H A D | SparkSingularValueDecomposer.java | 48 …final SingularValueDecomposition<RowMatrix, Matrix> svd = mat.computeSVD((int) mat.numCols(), true… in createSVD()
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/dports/science/simbody/simbody-Simbody-3.7/SimTKmath/LinearAlgebra/src/ |
H A D | FactorSVD.cpp | 288 computeSVD( true, &values(0), &leftVectors(0,0), &rightVectors(0,0) ); in getSingularValuesAndVectors() 302 computeSVD( false, &values(0), NULL, NULL ); in getSingularValues() 307 void FactorSVDRep<T>::computeSVD( bool computeVectors, RType* values, T* leftVectors, T* rightVecto… in computeSVD() function in SimTK::FactorSVDRep
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H A D | FactorSVDRep.h | 177 void computeSVD( bool, RType*, T*, T* );
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/dports/math/openturns/openturns-1.18/python/src/ |
H A D | Matrix_doc.i.in | 160 computeSVD 171 %feature("docstring") OT::Matrix::computeSVD 215 >>> singular_values, U, VT = M.computeSVD(True)
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/dports/math/openturns/openturns-1.18/lib/src/Base/Algo/ |
H A D | SVDMethod.cxx | 114 singularValues_ = psiAk.computeSVD(u_, vT_, false, false); // fullSVD, keepIntact in update()
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/dports/biology/gatk/gatk-4.2.0.0/src/main/java/org/broadinstitute/hellbender/tools/copynumber/denoising/ |
H A D | HDF5SVDReadCountPanelOfNormals.java | 326 .computeSVD(numEigensamples, true, EPSILON); in create()
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/dports/science/madness/madness-ebb3fd7/src/madness/tensor/ |
H A D | gentensor.h | 441 this->computeSVD(targs.thresh,values_eff); 907 void computeSVD(const double& eps,const Tensor<T>& values_eff) {
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/dports/java/java3d/java3d-1.5.2/vecmath/src/javax/vecmath/ |
H A D | GMatrix.java | 1593 return computeSVD(this, U, W, V); in SVD() 1961 static int computeSVD(GMatrix mat, GMatrix U, GMatrix W, GMatrix V) { in computeSVD() method in GMatrix
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/dports/math/openturns/openturns-1.18/ |
H A D | ChangeLog | 1283 * Renamed Matrix::computeSingularValues(u, vT) to computeSVD(u, vT)
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