/external/eigen/unsupported/test/ |
H A D | svd_common.h | 21 #include <unsupported/Eigen/SVD> 26 template<typename MatrixType, typename SVD> 27 void svd_check_full(const MatrixType& m, const SVD& svd) 54 template<typename MatrixType, typename SVD> 57 const SVD& referenceSvd) 64 SVD svd(m, computationOptions); 79 template<typename MatrixType, typename SVD> 96 SVD svd(m, computationOptions); 105 template<typename MatrixType, typename SVD> 106 void svd_test_computation_options_1(const MatrixType& m, const SVD [all...] |
/external/eigen/test/eigen2/ |
H A D | eigen2_svd.cpp | 11 #include <Eigen/SVD> 16 SVD.h 33 SVD<MatrixType> svd(a); 49 SVD<MatrixType> svd(a); 57 SVD<MatrixType> svd(a); 83 SVD<MatrixXf> s;
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H A D | eigen2_geometry.cpp | 13 #include <Eigen/SVD>
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H A D | eigen2_geometry_with_eigen2_prefix.cpp | 15 #include <Eigen/SVD>
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/external/eigen/doc/examples/ |
H A D | function_taking_ref.cpp | 2 #include <Eigen/SVD>
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/external/eigen/test/ |
H A D | upperbidiagonalization.cpp | 11 #include <Eigen/SVD>
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H A D | jacobi.cpp | 12 #include <Eigen/SVD>
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H A D | geo_eulerangles.cpp | 13 #include <Eigen/SVD>
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H A D | geo_orthomethods.cpp | 13 #include <Eigen/SVD>
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H A D | umeyama.cpp | 16 #include <Eigen/SVD> // required for SVD
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H A D | nomalloc.cpp | 31 #include <Eigen/SVD> 164 // SVD module
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H A D | geo_quaternion.cpp | 14 #include <Eigen/SVD>
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H A D | jacobisvd.cpp | 15 #include <Eigen/SVD> 141 // now check with SVD
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H A D | geo_transformations.cpp | 13 #include <Eigen/SVD>
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/external/eigen/Eigen/src/Eigen2Support/ |
H A D | SVD.h | 18 * \class SVD 20 * \brief Standard SVD decomposition of a matrix and associated features 22 * \param MatrixType the type of the matrix of which we are computing the SVD decomposition 24 * This class performs a standard SVD decomposition of a real matrix A of size \c M x \c N 28 * \sa MatrixBase::SVD() 30 template<typename MatrixType> class SVD class in namespace:Eigen 51 SVD() {} // a user who relied on compiler-generated default compiler reported problems with MSVC in 2.0.7 function in class:Eigen::SVD 53 SVD(const MatrixType& matrix) function in class:Eigen::SVD 69 SVD& sort(); 89 /** Computes / recomputes the SVD decompositio [all...] |
/external/eigen/unsupported/bench/ |
H A D | bench_svd.cpp | 13 // Bench to compare the efficiency of SVD algorithms 17 #include <unsupported/Eigen/SVD>
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/external/eigen/Eigen/src/SVD/ |
H A D | JacobiSVD.h | 22 /*** QR preconditioners (R-SVD) 24 *** Their role is to reduce the problem of computing the SVD to the case of a square matrix. 25 *** This approach, known as R-SVD, is an optimization for rectangular-enough matrices, and is a requirement for 352 /*** 2x2 SVD implementation 354 *** JacobiSVD consists in performing a series of 2x2 SVD subproblems 360 typedef JacobiSVD<MatrixType, QRPreconditioner> SVD; typedef in struct:Eigen::internal::svd_precondition_2x2_block_to_be_real 361 typedef typename SVD::Index Index; 362 static void run(typename SVD::WorkMatrixType&, SVD&, Index, Index) {} argument 368 typedef JacobiSVD<MatrixType, QRPreconditioner> SVD; typedef in struct:Eigen::internal::svd_precondition_2x2_block_to_be_real [all...] |
/external/eigen/unsupported/Eigen/src/SVD/ |
H A D | JacobiSVD.h | 22 /*** QR preconditioners (R-SVD) 24 *** Their role is to reduce the problem of computing the SVD to the case of a square matrix. 25 *** This approach, known as R-SVD, is an optimization for rectangular-enough matrices, and is a requirement for 352 /*** 2x2 SVD implementation 354 *** JacobiSVD consists in performing a series of 2x2 SVD subproblems 360 typedef JacobiSVD<MatrixType, QRPreconditioner> SVD; typedef in struct:Eigen::internal::svd_precondition_2x2_block_to_be_real 361 typedef typename SVD::Index Index; 362 static void run(typename SVD::WorkMatrixType&, SVD&, Index, Index) {} argument 368 typedef JacobiSVD<MatrixType, QRPreconditioner> SVD; typedef in struct:Eigen::internal::svd_precondition_2x2_block_to_be_real [all...] |
/external/llvm/lib/Transforms/Instrumentation/ |
H A D | AddressSanitizer.cpp | 1584 SmallVector<ASanStackVariableDescription, 16> SVD; local 1585 SVD.reserve(AllocaVec.size()); 1590 SVD.push_back(D); 1596 ComputeASanStackFrameLayout(SVD, 1UL << Mapping.Scale, MinHeaderSize, &L); 1650 for (const auto &Desc : SVD) {
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/external/eigen/Eigen/src/Core/ |
H A D | MatrixBase.h | 383 /////////// SVD module /////////// 388 SVD<PlainObject> svd() const;
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/external/eigen/Eigen/src/Core/util/ |
H A D | ForwardDeclarations.h | 291 template<typename MatrixType> class SVD;
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