mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-15 07:10:37 +08:00
80 lines
3.1 KiB
C++
80 lines
3.1 KiB
C++
// 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_MATRIX_VECTOR_H
|
|
#define EIGEN_PACKED_TRIANGULAR_MATRIX_VECTOR_H
|
|
|
|
namespace internal {
|
|
|
|
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs, int StorageOrder>
|
|
struct packed_triangular_matrix_vector_product;
|
|
|
|
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs>
|
|
struct packed_triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,ColMajor>
|
|
{
|
|
typedef typename scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;
|
|
enum {
|
|
IsLower = (Mode & Lower) ==Lower,
|
|
HasUnitDiag = (Mode & UnitDiag)==UnitDiag,
|
|
HasZeroDiag = (Mode & ZeroDiag)==ZeroDiag
|
|
};
|
|
static void run(Index size, const LhsScalar* lhs, const RhsScalar* rhs, ResScalar* res, ResScalar alpha)
|
|
{
|
|
internal::conj_if<ConjRhs> cj;
|
|
typedef Map<const Matrix<LhsScalar,Dynamic,1> > LhsMap;
|
|
typedef typename conj_expr_if<ConjLhs,LhsMap>::type ConjLhsType;
|
|
typedef Map<Matrix<ResScalar,Dynamic,1> > ResMap;
|
|
|
|
for (Index i=0; i<size; ++i)
|
|
{
|
|
Index s = IsLower&&(HasUnitDiag||HasZeroDiag) ? 1 : 0;
|
|
Index r = IsLower ? size-i: i+1;
|
|
if (EIGEN_IMPLIES(HasUnitDiag||HasZeroDiag, (--r)>0))
|
|
ResMap(res+(IsLower ? s+i : 0),r) += alpha * cj(rhs[i]) * ConjLhsType(LhsMap(lhs+s,r));
|
|
if (HasUnitDiag)
|
|
res[i] += alpha * cj(rhs[i]);
|
|
lhs += IsLower ? size-i: i+1;
|
|
}
|
|
};
|
|
};
|
|
|
|
template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs>
|
|
struct packed_triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor>
|
|
{
|
|
typedef typename scalar_product_traits<LhsScalar, RhsScalar>::ReturnType ResScalar;
|
|
enum {
|
|
IsLower = (Mode & Lower) ==Lower,
|
|
HasUnitDiag = (Mode & UnitDiag)==UnitDiag,
|
|
HasZeroDiag = (Mode & ZeroDiag)==ZeroDiag
|
|
};
|
|
static void run(Index size, const LhsScalar* lhs, const RhsScalar* rhs, ResScalar* res, ResScalar alpha)
|
|
{
|
|
internal::conj_if<ConjRhs> cj;
|
|
typedef Map<const Matrix<LhsScalar,Dynamic,1> > LhsMap;
|
|
typedef typename conj_expr_if<ConjLhs,LhsMap>::type ConjLhsType;
|
|
typedef Map<const Matrix<RhsScalar,Dynamic,1> > RhsMap;
|
|
typedef typename conj_expr_if<ConjRhs,RhsMap>::type ConjRhsType;
|
|
|
|
for (Index i=0; i<size; ++i)
|
|
{
|
|
Index s = !IsLower&&(HasUnitDiag||HasZeroDiag) ? 1 : 0;
|
|
Index r = IsLower ? i+1 : size-i;
|
|
if (EIGEN_IMPLIES(HasUnitDiag||HasZeroDiag, (--r)>0))
|
|
res[i] += alpha * (ConjLhsType(LhsMap(lhs+s,r)).cwiseProduct(ConjRhsType(RhsMap(rhs+(IsLower ? 0 : s+i),r)))).sum();
|
|
if (HasUnitDiag)
|
|
res[i] += alpha * cj(rhs[i]);
|
|
lhs += IsLower ? i+1 : size-i;
|
|
}
|
|
};
|
|
};
|
|
|
|
} // end namespace internal
|
|
|
|
#endif // EIGEN_PACKED_TRIANGULAR_MATRIX_VECTOR_H
|