/dports/science/rdkit/rdkit-Release_2021_03_5/Code/Numerics/EigenSolvers/ |
H A D | PowerEigenSolver.h | 57 unsigned int numEig, DoubleSymmMatrix &mat, DoubleVector &eigenValues, 61 DoubleVector &eigenValues, 63 return powerEigenSolver(numEig, mat, eigenValues, &eigenVectors, seed);
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H A D | PowerEigenSolver.cpp | 21 DoubleVector &eigenValues, DoubleMatrix *eigenVectors, in powerEigenSolver() argument 30 CHECK_INVARIANT(eigenValues.size() >= numEig, ""); in powerEigenSolver() 89 eigenValues[ei] = eigVal; in powerEigenSolver()
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Filtering/ImageStatistics/test/ |
H A D | itkImagePCAShapeModelEstimatorTest.cxx | 168 vnl_vector<double> eigenValues = in itkImagePCAShapeModelEstimatorTest() local 170 unsigned int numEigVal = eigenValues.size(); in itkImagePCAShapeModelEstimatorTest() 179 std::cout << eigenValues[ i ] << std::endl; in itkImagePCAShapeModelEstimatorTest() 218 if( (eigenValues[2] < 6 || eigenValues[2] > 6.1) || (eigenValues[1] >0.1) ) in itkImagePCAShapeModelEstimatorTest()
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/dports/x11-toolkits/qt5-virtualkeyboard/kde-qtvirtualkeyboard-5.15.2p4/src/plugins/lipi-toolkit/3rdparty/lipi-toolkit/src/reco/shaperec/activedtw/ |
H A D | ActiveDTWAdapt.cpp | 556 doubleVector eigenValues; in adaptCluster() local 606 for( i = 0; i < eigenValues.size(); i++) in adaptCluster() 608 eigenEnergy += eigenValues[i]; in adaptCluster() 661 eigenValues.clear(); in adaptCluster() 750 doubleVector eigenValues; in adaptCluster() local 811 for( i = 0; i < eigenValues.size(); i++) in adaptCluster() 813 eigenEnergy += eigenValues[i]; in adaptCluster() 859 eigenValues.clear(); in adaptCluster() 1061 doubleVector eigenValues; in trainSingletons() local 1154 clusterModel.setEigenValues(eigenValues); in trainSingletons() [all …]
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Filtering/ImageIntensity/include/ |
H A D | itkSymmetricEigenAnalysisImageFilter.h | 56 TOutput eigenValues; in operator() local 58 m_Calculator.ComputeEigenValues(x, eigenValues); in operator() 59 return eigenValues; in operator() 121 TOutput eigenValues; in operator() local 123 m_Calculator.ComputeEigenValues(x, eigenValues); in operator() 124 return eigenValues; in operator()
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/dports/math/vtk9/VTK-9.1.0/ThirdParty/vtkm/vtkvtkm/vtk-m/vtkm/worklet/ |
H A D | LagrangianStructures.h | 82 vtkm::Vec<Scalar, 2> eigenValues; in operator() local 83 detail::Jacobi(jacobian, eigenValues); in operator() 85 Scalar delta = eigenValues[0]; in operator() 173 vtkm::Vec<Scalar, 3> eigenValues; in operator() local 174 detail::Jacobi(jacobian, eigenValues); in operator() 176 Scalar delta = eigenValues[0]; in operator()
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/dports/finance/quantlib/QuantLib-1.20/ql/math/matrixutilities/ |
H A D | pseudosqrt.cpp | 453 Array eigenValues = jd.eigenvalues(); in rankReducedSqrt() local 459 QL_REQUIRE(eigenValues[size-1]>=-1e-16, in rankReducedSqrt() 461 << std::scientific << eigenValues[size-1] in rankReducedSqrt() 467 eigenValues[i] = std::max<Real>(eigenValues[i], 0.0); in rankReducedSqrt() 475 eigenValues = jd.eigenvalues(); in rankReducedSqrt() 484 std::accumulate(eigenValues.begin(), in rankReducedSqrt() 485 eigenValues.end(), Real(0.0)); in rankReducedSqrt() 491 Real components = eigenValues[0]; in rankReducedSqrt() 494 components += eigenValues[i]; in rankReducedSqrt() 502 diagonal[i][i] = std::sqrt(eigenValues[i]); in rankReducedSqrt()
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/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core-math/src/main/java/de/lmu/ifi/dbs/elki/math/linearalgebra/pca/filter/ |
H A D | FirstNEigenPairFilter.java | 58 public int filter(double[] eigenValues) { in filter() argument 59 return n < eigenValues.length ? n : eigenValues.length; in filter()
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/dports/math/dune-common/dune-common-df65b1282ea89ad40d2cb6565983f7e633ccce31/dune/common/test/ |
H A D | eigenvaluestest.cc | 103 FieldVector<field_type,dim> eigenValues; in testSymmetricFieldMatrix() local 105 FMatrixHelp::eigenValuesVectors(testMatrix, eigenValues, eigenVectors); in testSymmetricFieldMatrix() 122 if (isnan(eigenValues[j])) in testSymmetricFieldMatrix() 132 if (eigenValues[j] > eigenValues[j+1] + 1e-10) in testSymmetricFieldMatrix() 140 …if((Av - eigenValues[j]*eigenVectors[j]).two_norm() > dim*std::sqrt(std::numeric_limits<field_type… in testSymmetricFieldMatrix()
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/dports/math/dune-common/dune-common-df65b1282ea89ad40d2cb6565983f7e633ccce31/dune/common/ |
H A D | dynmatrixev.hh | 38 DynamicVector<C>& eigenValues, in eigenValuesNonSym() argument 85 eigenValues.resize(N); in eigenValuesNonSym() 87 eigenValues[i] = std::complex<double>(eigenR[i], eigenI[i]); in eigenValuesNonSym()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Process/ |
H A D | KarhunenLoeveQuadratureAlgorithm.cxx | 315 Point eigenValues(C.computeEV(eigenVectors, false)); in run() local 324 eigenPairs[i] = std::pair<Scalar, UnsignedInteger>(-eigenValues[i], i); in run() 330 eigenValues[i] = -eigenPairs[i].first; in run() 331 cumulatedVariance += eigenValues[i]; in run() 333 LOGDEBUG(OSS(false) << "eigenValues=" << eigenValues); in run() 337 const UnsignedInteger nbModesMax = std::min(eigenValues.getSize(), getNbModes()); in run() 339 while ((K < nbModesMax) && (eigenValues[K] >= threshold_ * cumulatedVariance)) in run() 352 selectedEV[k] = eigenValues[k]; in run()
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H A D | KarhunenLoeveSVDAlgorithm.cxx | 307 Point eigenValues(svd.getDimension()); in run() local 310 eigenValues[i] = svd[i] * svd[i]; in run() 311 cumulatedVariance += eigenValues[i]; in run() 316 const UnsignedInteger nbModesMax = std::min(eigenValues.getSize(), getNbModes()); in run() 318 while ((K < nbModesMax) && (eigenValues[K] >= threshold_ * cumulatedVariance)) in run() 357 selectedEV[k] = eigenValues[k]; in run()
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H A D | ARMA.cxx | 217 const ComplexCollection eigenValues(matrix.computeEigenValues(false)); in computeNThermalization() local 220 Scalar s = std::abs(eigenValues[0]); in computeNThermalization() 221 …for (UnsignedInteger i = 1; i < eigenValues.getSize() ; ++i) s = std::max(s, std::abs(eigenValues[… in computeNThermalization()
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/dports/audio/faust/faust-2.37.3/tools/physicalModeling/mesh2faust/src/ |
H A D | mesh2faust.cpp | 241 double *eigenValues = (double *)malloc(sizeof(double) * femNModes); in main() local 256 … stiffnessMatrix, massMatrix, femNModes, eigenValues, eigenVectors, sigma, in main() 275 if (eigenValues[i] <= 0) { in main() 278 modesFreqs[i] = sqrt((float)eigenValues[i]) / (2 * M_PI); in main() 440 free(eigenValues); in main()
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Filtering/ImageFeature/include/ |
H A D | itkHessianToObjectnessMeasureImageFilter.hxx | 75 EigenValueArrayType eigenValues; in DynamicThreadedGenerateData() local 76 eigenCalculator.ComputeEigenValues(it.Get(), eigenValues); in DynamicThreadedGenerateData() 80 EigenValueArrayType sortedEigenValues = eigenValues; in DynamicThreadedGenerateData()
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/dports/misc/elki/elki-release0.7.1-1166-gfb1fffdf3/elki-core/src/main/java/de/lmu/ifi/dbs/elki/math/linearalgebra/pca/ |
H A D | AutotuningPCA.java | 219 private double computeExplainedVariance(double[] eigenValues, int filteredEigenPairs) { in computeExplainedVariance() argument 222 strongsum += eigenValues[i]; in computeExplainedVariance() 224 for(int i = filteredEigenPairs; i < eigenValues.length; i++) { in computeExplainedVariance() 225 weaksum += eigenValues[i]; in computeExplainedVariance()
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Nonunit/Review/test/ |
H A D | itkDiscreteHessianGaussianImageFunctionTest.cxx | 47 typename HessianGaussianImageFunctionType::TensorType::EigenValuesArrayType eigenValues; in itkDiscreteHessianGaussianImageFunctionTestND() local 161 hessian.ComputeEigenValues( eigenValues ); in itkDiscreteHessianGaussianImageFunctionTestND() 163 PixelType maxEigen = eigenValues[0]; in itkDiscreteHessianGaussianImageFunctionTestND() 166 maxEigen = std::max(eigenValues[i], maxEigen); in itkDiscreteHessianGaussianImageFunctionTestND()
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/dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/apps/3d_rec_framework/include/pcl/apps/3d_rec_framework/feature_wrapper/local/ |
H A D | local_estimator.h | 112 EIGEN_ALIGN16 Eigen::Vector3f eigenValues; 118 pcl::eigen33(covariance_matrix, eigenVectors, eigenValues); 120 float eigsum = eigenValues.sum(); 125 if ((std::abs(eigenValues[0] - eigenValues[1]) < 1.5e-4) || 126 (eigsum != 0 && std::abs(eigenValues[0] / eigsum) > 1.e-2)) {
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/dports/math/dune-geometry/dune-geometry-e7bfb66e48496aa28e47974c33ea9a4579bf723b/dune/geometry/quadraturerules/ |
H A D | jacobiNquadrature.hh | 145 DynamicVector<std::complex<double> > eigenValues(n,0); in jacobiNodesWeights() local 148 DynamicMatrixHelp::eigenValuesNonSym(J, eigenValues, &eigenVectors); in jacobiNodesWeights() 158 DynamicVector<ct> node(1,0.5*eigenValues[i].real() + 0.5); in jacobiNodesWeights()
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/dports/emulators/mess/mame-mame0226/3rdparty/bimg/3rdparty/nvtt/nvmath/ |
H A D | fitting.h | 40 … bool eigenSolveSymmetric3(const float matrix[6], float eigenValues[3], Vector3 eigenVectors[3]); 41 … bool eigenSolveSymmetric4(const float matrix[10], float eigenValues[4], Vector4 eigenVectors[4]);
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/dports/emulators/mame/mame-mame0226/3rdparty/bimg/3rdparty/nvtt/nvmath/ |
H A D | fitting.h | 40 … bool eigenSolveSymmetric3(const float matrix[6], float eigenValues[3], Vector3 eigenVectors[3]); 41 … bool eigenSolveSymmetric4(const float matrix[10], float eigenValues[4], Vector4 eigenVectors[4]);
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Core/Common/include/ |
H A D | itkSymmetricSecondRankTensor.hxx | 272 ::ComputeEigenValues(EigenValuesArrayType & eigenValues) const in ComputeEigenValues() 286 symmetricEigenSystem.ComputeEigenValues(tensorMatrix, eigenValues); in ComputeEigenValues() 296 ::ComputeEigenAnalysis(EigenValuesArrayType & eigenValues, in ComputeEigenAnalysis() argument 312 tensorMatrix, eigenValues, eigenVectors); in ComputeEigenAnalysis()
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/dports/multimedia/opentoonz/opentoonz-1.5.0/toonz/sources/common/tapptools/ |
H A D | tcolorutils.cpp | 123 KEYER_FLOAT eigenValues[3]); 181 KEYER_FLOAT eigenValues[3]; in chooseLeafToClusterize() local 182 tmpMulteplicity = calcCovarianceEigenValues(clusterCovariance, eigenValues); in chooseLeafToClusterize() 185 tmpEigenValue = std::max({eigenValues[0], eigenValues[1], eigenValues[2]}); in chooseLeafToClusterize() 349 const KEYER_FLOAT clusterCovariance[9], KEYER_FLOAT eigenValues[3]) { in calcCovarianceEigenValues() 369 SolveCubic((KEYER_FLOAT)-1.0, c2, -c1, c0, &solutionsCount, eigenValues); in calcCovarianceEigenValues() 373 assert(!std::isnan(eigenValues[0])); in calcCovarianceEigenValues() 374 assert(!std::isnan(eigenValues[1])); in calcCovarianceEigenValues() 375 assert(!std::isnan(eigenValues[2])); in calcCovarianceEigenValues()
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/dports/science/berkeleygw/BGW-2.0.0/MeanField/EPM/ |
H A D | hamiltonianMod.f90 | 223 eigenStates%eigenValues(1:eigenStates%numStates, k) = eigenvalues(1:eigenStates%numStates) 326 write(0,*) 'eigenvalue = ', eigenStates%eigenValues(ist, ik) 330 diff = dble(energy) - eigenStates%eigenValues(ist, ik) 400 diff = Hdiag(ist, ist) - eigenStates%eigenValues(ist, ik)
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/dports/science/InsightToolkit/ITK-5.0.1/Modules/Core/Transform/include/ |
H A D | itkTransform.hxx | 352 typename InputDiffusionTensor3DType::EigenValuesArrayType eigenValues; in PreservationOfPrincipalDirectionDiffusionTensor3DReorientation() local 354 inputTensor.ComputeEigenAnalysis( eigenValues, eigenVectors ); in PreservationOfPrincipalDirectionDiffusionTensor3DReorientation() 391 e1(i, j) = eigenValues[2] * ev1[i] * ev1[j]; in PreservationOfPrincipalDirectionDiffusionTensor3DReorientation() 392 e2(i, j) = eigenValues[1] * ev2[i] * ev2[j]; in PreservationOfPrincipalDirectionDiffusionTensor3DReorientation() 393 e3(i, j) = eigenValues[0] * ev3[i] * ev3[j]; in PreservationOfPrincipalDirectionDiffusionTensor3DReorientation()
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