| /external/eigen/unsupported/Eigen/src/SparseExtra/ |
| MatrixMarketIterator.h | 116 if (m_hasRhs) return m_rhs;
123 m_rhs.resize(m_mat.cols());
124 m_hasRhs = loadMarketVector(m_rhs, rhs_file);
132 m_rhs = m_mat * m_refX;
136 return m_rhs;
232 VectorType m_rhs; // Current vector member in class:Eigen::MatrixMarketIterator
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| BlockSparseMatrix.h | 276 internal::sparse_time_dense_product( BlockSparseMatrixView<Lhs>(m_lhs), BlockVectorView<Lhs, Rhs>(m_lhs, m_rhs), tmpDest, alpha);
[all...] |
| /external/eigen/Eigen/src/IterativeLinearSolvers/ |
| SolveWithGuess.h | 50 : m_dec(dec), m_rhs(rhs), m_guess(guess)
54 EIGEN_DEVICE_FUNC Index cols() const { return m_rhs.cols(); }
57 EIGEN_DEVICE_FUNC const RhsType& rhs() const { return m_rhs; }
62 const RhsType &m_rhs; member in class:Eigen::SolveWithGuess
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| /external/eigen/Eigen/src/Geometry/ |
| Homogeneous.h | 262 m_rhs(rhs)
266 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); }
274 (m_lhs,0,0,m_lhs.rows(),m_lhs.cols()-1) * m_rhs;
276 .template replicate<MatrixType::ColsAtCompileTime>(m_rhs.cols());
280 typename MatrixType::Nested m_rhs; member in struct:Eigen::internal::homogeneous_left_product_impl
300 : m_lhs(lhs), m_rhs(rhs)
304 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); }
312 (m_rhs,0,0,m_rhs.rows()-1,m_rhs.cols())
318 typename Rhs::Nested m_rhs; member in struct:Eigen::internal::homogeneous_right_product_impl
[all...] |
| /external/eigen/Eigen/src/Core/ |
| CwiseBinaryOp.h | 105 : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
117 return m_rhs.rows();
125 return m_rhs.cols();
135 const _RhsNested& rhs() const { return m_rhs; }
142 RhsNested m_rhs; member in class:Eigen::CwiseBinaryOp
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| SolveTriangular.h | 210 : m_triangularMatrix(tri), m_rhs(rhs)
213 inline Index rows() const { return m_rhs.rows(); }
214 inline Index cols() const { return m_rhs.cols(); }
218 if(!is_same_dense(dst,m_rhs))
219 dst = m_rhs;
225 typename Rhs::Nested m_rhs; member in struct:Eigen::internal::triangular_solve_retval
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| Product.h | 93 EIGEN_DEVICE_FUNC Product(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs)
101 EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); }
104 EIGEN_DEVICE_FUNC const RhsNestedCleaned& rhs() const { return m_rhs; }
109 RhsNested m_rhs; member in class:Eigen::Product
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| Solve.h | 69 : m_dec(dec), m_rhs(rhs)
73 EIGEN_DEVICE_FUNC Index cols() const { return m_rhs.cols(); }
76 EIGEN_DEVICE_FUNC const RhsType& rhs() const { return m_rhs; }
80 const RhsType &m_rhs; member in class:Eigen::Solve
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| ProductEvaluators.h | 447 m_rhs(xpr.rhs()),
449 m_rhsImpl(m_rhs), // Moreover, they are only useful for the packet path, so we could completely disable them when not needed,
552 return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
563 return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
587 typename internal::add_const_on_value_type<RhsNested>::type m_rhs; member in struct:Eigen::internal::product_evaluator
[all...] |
| /external/eigen/unsupported/Eigen/src/Skyline/ |
| SkylineProduct.h | 77 : m_lhs(lhs), m_rhs(rhs) {
102 return m_rhs.cols();
110 return m_rhs;
115 RhsNested m_rhs; member in class:Eigen::internal::SkylineProduct
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| /external/eigen/Eigen/src/Core/products/ |
| GeneralMatrixMatrix.h | 212 : m_lhs(lhs), m_rhs(rhs), m_dest(dest), m_actualAlpha(actualAlpha), m_blocking(blocking)
217 m_blocking.initParallel(m_lhs.rows(), m_rhs.cols(), m_lhs.cols(), num_threads);
224 cols = m_rhs.cols();
228 &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
237 const Rhs& m_rhs; member in struct:Eigen::internal::gemm_functor
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| /external/eigen/Eigen/src/SparseCore/ |
| SparseSelfAdjointView.h | 408 : m_rhs(xpr.rhs()), m_result(xpr.rows(), xpr.cols())
411 generic_product_impl<Lhs, typename Lhs::PlainObject, SparseShape, SparseShape, ProductTag>::evalTo(m_result, xpr.lhs(), m_rhs);
415 typename Lhs::PlainObject m_rhs; member in struct:Eigen::internal::product_evaluator
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