| /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
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| /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
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| /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
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| /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
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| /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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