/external/eigen/Eigen/src/SparseCore/ |
SparsePermutation.h | 86 perm = m_permutation.transpose(); 132 operator*(const SparseMatrixBase<SparseDerived>& matrix, const Transpose<PermutationBase<PermDerived> >& tperm) 141 operator*(const Transpose<PermutationBase<PermDerived> >& tperm, const SparseMatrixBase<SparseDerived>& matrix)
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SparseUtil.h | 84 template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
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/external/eigen/Eigen/src/Core/products/ |
SelfadjointMatrixVector.h | 272 // let's simply transpose the product 273 Transpose<Dest> destT(dest); 274 SelfadjointProductMatrix<Transpose<const Rhs>, int(RhsUpLo)==Upper ? Lower : Upper, false, 275 Transpose<const Lhs>, 0, true>(m_rhs.transpose(), m_lhs.transpose()).scaleAndAddTo(destT, alpha);
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TriangularMatrixVector.h | 131 res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); 204 typedef TriangularProduct<(Mode & (UnitDiag|ZeroDiag)) | ((Mode & Lower) ? Upper : Lower),true,Transpose<const Rhs>,false,Transpose<const Lhs>,true> TriangularProductTranspose; 205 Transpose<Dest> dstT(dst); 207 TriangularProductTranspose(m_rhs.transpose(),m_lhs.transpose()), dstT, alpha);
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/external/opencv3/modules/cudaarithm/test/ |
test_core.cpp | 182 // Transpose 184 PARAM_TEST_CASE(Transpose, cv::cuda::DeviceInfo, cv::Size, MatType, UseRoi) 202 CUDA_TEST_P(Transpose, Accuracy) 211 cv::cuda::transpose(loadMat(src), dst); 221 cv::cuda::transpose(loadMat(src, useRoi), dst); 224 cv::transpose(src, dst_gold); 230 INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Transpose, testing::Combine(
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/external/dng_sdk/source/ |
dng_matrix.h | 289 dng_matrix Transpose (const dng_matrix &A);
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dng_rect.h | 408 inline dng_rect Transpose (const dng_rect &a) 417 inline dng_rect_real64 Transpose (const dng_rect_real64 &a)
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dng_matrix.cpp | 998 dng_matrix Transpose (const dng_matrix &A) 1046 dng_matrix B = Transpose (A);
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/external/eigen/Eigen/src/Cholesky/ |
LLT.h | 344 Transpose<MatrixType> matt(mat); 350 Transpose<MatrixType> matt(mat); 356 Transpose<MatrixType> matt(mat);
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LDLT.h | 407 Transpose<MatrixType> matt(mat); 414 Transpose<MatrixType> matt(mat); 534 dst = dec().transpositionsP().transpose() * dst; 584 res = transpositionsP().transpose() * res;
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/external/webrtc/webrtc/modules/audio_processing/beamformer/ |
matrix_unittest.cc | 81 actual_result.Transpose(initial_mat); 84 initial_mat.Transpose();
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/external/eigen/lapack/ |
dlarft.f | 229 CALL DGEMV( 'Transpose', J-I, I-1, -TAU( I ), 244 CALL DGEMV( 'No transpose', I-1, J-I, -TAU( I ), 251 CALL DTRMV( 'Upper', 'No transpose', 'Non-unit', I-1, T, 288 CALL DGEMV( 'Transpose', N-K+I-J, K-I, -TAU( I ), 303 CALL DGEMV( 'No transpose', K-I, N-K+I-J, 310 CALL DTRMV( 'Lower', 'No transpose', 'Non-unit', K-I,
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slarft.f | 229 CALL SGEMV( 'Transpose', J-I, I-1, -TAU( I ), 244 CALL SGEMV( 'No transpose', I-1, J-I, -TAU( I ), 251 CALL STRMV( 'Upper', 'No transpose', 'Non-unit', I-1, T, 288 CALL SGEMV( 'Transpose', N-K+I-J, K-I, -TAU( I ), 303 CALL SGEMV( 'No transpose', K-I, N-K+I-J, 310 CALL STRMV( 'Lower', 'No transpose', 'Non-unit', K-I,
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dlarf.f | 200 CALL DGEMV( 'Transpose', LASTV, LASTC, ONE, C, LDC, V, INCV, 215 CALL DGEMV( 'No transpose', LASTC, LASTV, ONE, C, LDC,
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slarf.f | 200 CALL SGEMV( 'Transpose', LASTV, LASTC, ONE, C, LDC, V, INCV, 215 CALL SGEMV( 'No transpose', LASTC, LASTV, ONE, C, LDC,
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/external/eigen/test/eigen2/ |
eigen2_triangular.cpp | 35 VERIFY(m2up.transpose().isLowerTriangular()); 39 // VERIFY_IS_APPROX(m1up.transpose() * m2, m1.upper().transpose().lower() * m2); 50 m1.template part<Eigen::UpperTriangular>() = (m2.transpose() * m2).lazy(); 51 m3 = m2.transpose() * m2; 52 VERIFY_IS_APPROX(m3.template part<Eigen::LowerTriangular>().transpose(), m1); 56 m1.template part<Eigen::LowerTriangular>() = (m2.transpose() * m2).lazy(); 65 Transpose<MatrixType> trm4(m4); 69 VERIFY(m3.transpose().template marked<Eigen::UpperTriangular>() 70 .solveTriangular(m3.transpose()).cwise().abs().isIdentity(test_precision<RealScalar>())) [all...] |
/external/ceres-solver/internal/ceres/ |
compressed_row_sparse_matrix_test.cc | 334 TEST(CompressedRowSparseMatrix, Transpose) { 389 scoped_ptr<CompressedRowSparseMatrix> transpose(matrix.Transpose()); 391 ASSERT_EQ(transpose->row_blocks().size(), matrix.col_blocks().size()); 392 for (int i = 0; i < transpose->row_blocks().size(); ++i) { 393 EXPECT_EQ(transpose->row_blocks()[i], matrix.col_blocks()[i]); 396 ASSERT_EQ(transpose->col_blocks().size(), matrix.row_blocks().size()); 397 for (int i = 0; i < transpose->col_blocks().size(); ++i) { 398 EXPECT_EQ(transpose->col_blocks()[i], matrix.row_blocks()[i]); 405 transpose->ToDenseMatrix(&dense_transpose) [all...] |
/external/eigen/Eigen/src/Core/ |
DenseBase.h | 285 Eigen::Transpose<Derived> transpose(); 286 typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType; 287 ConstTransposeReturnType transpose() const;
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GeneralProduct.h | 211 Base::coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); 362 Transpose<Dest> destT(dest); 365 ::run(GeneralProduct<Transpose<const typename ProductType::_RhsNested>,Transpose<const typename ProductType::_LhsNested>, GemvProduct> 366 (prod.rhs().transpose(), prod.lhs().transpose()), destT, alpha); 552 dest.coeffRef(i) += alpha * (prod.lhs().row(i).cwiseProduct(prod.rhs().transpose())).sum();
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TriangularMatrix.h | 267 /** \sa MatrixBase::transpose() */ 268 inline TriangularView<Transpose<MatrixType>,TransposeMode> transpose() function in class:Eigen::TriangularView 271 return m_matrix.const_cast_derived().transpose(); 273 /** \sa MatrixBase::transpose() const */ 274 inline const TriangularView<Transpose<MatrixType>,TransposeMode> transpose() const function in class:Eigen::TriangularView 276 return m_matrix.transpose();
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/external/opencv3/modules/cudaarithm/perf/ |
perf_core.cpp | 135 // Transpose 137 PERF_TEST_P(Sz_Type, Transpose, 152 TEST_CYCLE() cv::cuda::transpose(d_src, dst); 160 TEST_CYCLE() cv::transpose(src, dst);
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/external/eigen/Eigen/src/Core/util/ |
ForwardDeclarations.h | 84 template<typename MatrixType> class Transpose;
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/external/eigen/Eigen/src/Householder/ |
HouseholderSequence.h | 50 * In addition to the adjoint, you can also apply the inverse (=adjoint), the transpose, and the conjugate operators. 92 typedef Transpose<Block<const VectorsType, 1, Dynamic> > EssentialVectorType; 98 return Block<const VectorsType,1,Dynamic>(h.m_vectors, k, start, 1, h.rows()-start).transpose(); 202 /** \brief %Transpose of the Householder sequence. */ 203 HouseholderSequence transpose() const function in class:Eigen::HouseholderSequence 217 /** \brief Adjoint (conjugate transpose) of the Householder sequence. */ 377 /** \brief Sets the transpose flag. 378 * \param [in] trans New value of the transpose flag. 380 * By default, the transpose flag is not set. If the transpose flag is set, then this object represents [all...] |
/external/eigen/test/ |
triangular.cpp | 39 VERIFY(m2up.transpose().isLowerTriangular()); 43 // VERIFY_IS_APPROX(m1up.transpose() * m2, m1.upper().transpose().lower() * m2); 54 m1.template triangularView<Upper>() = m2.transpose() + m2; 55 m3 = m2.transpose() + m2; 56 VERIFY_IS_APPROX(m3.template triangularView<Lower>().transpose().toDenseMatrix(), m1); 60 m1.template triangularView<Lower>() = m2.transpose() + m2; 70 Transpose<MatrixType> trm4(m4); 75 VERIFY(v2.isApprox(m3.transpose() * (m1.transpose().template triangularView<Upper>().solve(v2)), largerEps)) [all...] |
/external/libavc/common/arm/ |
ih264_ihadamard_scaling_a9.s | 123 vtrn.32 q2, q3 @Transpose the register for vertical transform
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