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  /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)
SparseUtil.h 84 template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
  /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);
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);
  /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(
  /external/dng_sdk/source/
dng_matrix.h 289 dng_matrix Transpose (const dng_matrix &A);
dng_rect.h 408 inline dng_rect Transpose (const dng_rect &a)
417 inline dng_rect_real64 Transpose (const dng_rect_real64 &a)
dng_matrix.cpp 998 dng_matrix Transpose (const dng_matrix &A)
1046 dng_matrix B = Transpose (A);
  /external/eigen/Eigen/src/Cholesky/
LLT.h 344 Transpose<MatrixType> matt(mat);
350 Transpose<MatrixType> matt(mat);
356 Transpose<MatrixType> matt(mat);
LDLT.h 407 Transpose<MatrixType> matt(mat);
414 Transpose<MatrixType> matt(mat);
534 dst = dec().transpositionsP().transpose() * dst;
584 res = transpositionsP().transpose() * res;
  /external/webrtc/webrtc/modules/audio_processing/beamformer/
matrix_unittest.cc 81 actual_result.Transpose(initial_mat);
84 initial_mat.Transpose();
  /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,
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,
dlarf.f 200 CALL DGEMV( 'Transpose', LASTV, LASTC, ONE, C, LDC, V, INCV,
215 CALL DGEMV( 'No transpose', LASTC, LASTV, ONE, C, LDC,
slarf.f 200 CALL SGEMV( 'Transpose', LASTV, LASTC, ONE, C, LDC, V, INCV,
215 CALL SGEMV( 'No transpose', LASTC, LASTV, ONE, C, LDC,
  /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>()))
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  /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)
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  /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;
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();
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();
  /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);
  /external/eigen/Eigen/src/Core/util/
ForwardDeclarations.h 84 template<typename MatrixType> class Transpose;
  /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
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  /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))
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  /external/libavc/common/arm/
ih264_ihadamard_scaling_a9.s 123 vtrn.32 q2, q3 @Transpose the register for vertical transform

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