|  | // This file is part of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2012 Chen-Pang He <jdh8@ms63.hinet.net> | 
|  | // | 
|  | // This Source Code Form is subject to the terms of the Mozilla | 
|  | // Public License v. 2.0. If a copy of the MPL was not distributed | 
|  | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | 
|  |  | 
|  | #ifndef EIGEN_PACKED_TRIANGULAR_SOLVER_VECTOR_H | 
|  | #define EIGEN_PACKED_TRIANGULAR_SOLVER_VECTOR_H | 
|  |  | 
|  | namespace internal { | 
|  |  | 
|  | template<typename LhsScalar, typename RhsScalar, typename Index, int Side, int Mode, bool Conjugate, int StorageOrder> | 
|  | struct packed_triangular_solve_vector; | 
|  |  | 
|  | // forward and backward substitution, row-major, rhs is a vector | 
|  | template<typename LhsScalar, typename RhsScalar, typename Index, int Mode, bool Conjugate> | 
|  | struct packed_triangular_solve_vector<LhsScalar, RhsScalar, Index, OnTheLeft, Mode, Conjugate, RowMajor> | 
|  | { | 
|  | enum { | 
|  | IsLower = (Mode&Lower)==Lower | 
|  | }; | 
|  | static void run(Index size, const LhsScalar* lhs, RhsScalar* rhs) | 
|  | { | 
|  | internal::conj_if<Conjugate> cj; | 
|  | typedef Map<const Matrix<LhsScalar,Dynamic,1> > LhsMap; | 
|  | typedef typename conj_expr_if<Conjugate,LhsMap>::type ConjLhsType; | 
|  |  | 
|  | lhs += IsLower ? 0 : (size*(size+1)>>1)-1; | 
|  | for(Index pi=0; pi<size; ++pi) | 
|  | { | 
|  | Index i = IsLower ? pi : size-pi-1; | 
|  | Index s = IsLower ? 0 : 1; | 
|  | if (pi>0) | 
|  | rhs[i] -= (ConjLhsType(LhsMap(lhs+s,pi)) | 
|  | .cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+(IsLower ? 0 : i+1),pi))).sum(); | 
|  | if (!(Mode & UnitDiag)) | 
|  | rhs[i] /= cj(lhs[IsLower ? i : 0]); | 
|  | IsLower ? lhs += pi+1 : lhs -= pi+2; | 
|  | } | 
|  | } | 
|  | }; | 
|  |  | 
|  | // forward and backward substitution, column-major, rhs is a vector | 
|  | template<typename LhsScalar, typename RhsScalar, typename Index, int Mode, bool Conjugate> | 
|  | struct packed_triangular_solve_vector<LhsScalar, RhsScalar, Index, OnTheLeft, Mode, Conjugate, ColMajor> | 
|  | { | 
|  | enum { | 
|  | IsLower = (Mode&Lower)==Lower | 
|  | }; | 
|  | static void run(Index size, const LhsScalar* lhs, RhsScalar* rhs) | 
|  | { | 
|  | internal::conj_if<Conjugate> cj; | 
|  | typedef Map<const Matrix<LhsScalar,Dynamic,1> > LhsMap; | 
|  | typedef typename conj_expr_if<Conjugate,LhsMap>::type ConjLhsType; | 
|  |  | 
|  | lhs += IsLower ? 0 : size*(size-1)>>1; | 
|  | for(Index pi=0; pi<size; ++pi) | 
|  | { | 
|  | Index i = IsLower ? pi : size-pi-1; | 
|  | Index r = size - pi - 1; | 
|  | if (!(Mode & UnitDiag)) | 
|  | rhs[i] /= cj(lhs[IsLower ? 0 : i]); | 
|  | if (r>0) | 
|  | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+(IsLower? i+1 : 0),r) -= | 
|  | rhs[i] * ConjLhsType(LhsMap(lhs+(IsLower? 1 : 0),r)); | 
|  | IsLower ? lhs += size-pi : lhs -= r; | 
|  | } | 
|  | } | 
|  | }; | 
|  |  | 
|  | template<typename LhsScalar, typename RhsScalar, typename Index, int Mode, bool Conjugate, int StorageOrder> | 
|  | struct packed_triangular_solve_vector<LhsScalar, RhsScalar, Index, OnTheRight, Mode, Conjugate, StorageOrder> | 
|  | { | 
|  | static void run(Index size, const LhsScalar* lhs, RhsScalar* rhs) | 
|  | { | 
|  | packed_triangular_solve_vector<LhsScalar,RhsScalar,Index,OnTheLeft, | 
|  | ((Mode&Upper)==Upper ? Lower : Upper) | (Mode&UnitDiag), | 
|  | Conjugate,StorageOrder==RowMajor?ColMajor:RowMajor | 
|  | >::run(size, lhs, rhs); | 
|  | } | 
|  | }; | 
|  |  | 
|  | } // end namespace internal | 
|  |  | 
|  | #endif // EIGEN_PACKED_TRIANGULAR_SOLVER_VECTOR_H |