1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#ifndef EIGEN_SPARSEDENSEPRODUCT_H
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_SPARSEDENSEPRODUCT_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs, int InnerSize> struct SparseDenseProductReturnType
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef SparseTimeDenseProduct<Lhs,Rhs> Type;
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs> struct SparseDenseProductReturnType<Lhs,Rhs,1>
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
227faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  typedef typename internal::conditional<
237faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    Lhs::IsRowMajor,
247faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    SparseDenseOuterProduct<Rhs,Lhs,true>,
257faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    SparseDenseOuterProduct<Lhs,Rhs,false> >::type Type;
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs, int InnerSize> struct DenseSparseProductReturnType
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef DenseTimeSparseProduct<Lhs,Rhs> Type;
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs> struct DenseSparseProductReturnType<Lhs,Rhs,1>
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
357faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  typedef typename internal::conditional<
367faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    Rhs::IsRowMajor,
377faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    SparseDenseOuterProduct<Rhs,Lhs,true>,
387faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    SparseDenseOuterProduct<Lhs,Rhs,false> >::type Type;
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs, bool Tr>
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<SparseDenseOuterProduct<Lhs,Rhs,Tr> >
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Sparse StorageKind;
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename scalar_product_traits<typename traits<Lhs>::Scalar,
487faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez                                         typename traits<Rhs>::Scalar>::ReturnType Scalar;
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::Index Index;
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::Nested LhsNested;
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Rhs::Nested RhsNested;
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename remove_all<LhsNested>::type _LhsNested;
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename remove_all<RhsNested>::type _RhsNested;
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  enum {
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    LhsCoeffReadCost = traits<_LhsNested>::CoeffReadCost,
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RhsCoeffReadCost = traits<_RhsNested>::CoeffReadCost,
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RowsAtCompileTime    = Tr ? int(traits<Rhs>::RowsAtCompileTime)     : int(traits<Lhs>::RowsAtCompileTime),
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ColsAtCompileTime    = Tr ? int(traits<Lhs>::ColsAtCompileTime)     : int(traits<Rhs>::ColsAtCompileTime),
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaxRowsAtCompileTime = Tr ? int(traits<Rhs>::MaxRowsAtCompileTime)  : int(traits<Lhs>::MaxRowsAtCompileTime),
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MaxColsAtCompileTime = Tr ? int(traits<Lhs>::MaxColsAtCompileTime)  : int(traits<Rhs>::MaxColsAtCompileTime),
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Flags = Tr ? RowMajorBit : 0,
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CoeffReadCost = LhsCoeffReadCost + RhsCoeffReadCost + NumTraits<Scalar>::MulCost
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  };
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs, bool Tr>
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass SparseDenseOuterProduct
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath : public SparseMatrixBase<SparseDenseOuterProduct<Lhs,Rhs,Tr> >
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef SparseMatrixBase<SparseDenseOuterProduct> Base;
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_DENSE_PUBLIC_INTERFACE(SparseDenseOuterProduct)
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef internal::traits<SparseDenseOuterProduct> Traits;
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  private:
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename Traits::LhsNested LhsNested;
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename Traits::RhsNested RhsNested;
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename Traits::_LhsNested _LhsNested;
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename Traits::_RhsNested _RhsNested;
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    class InnerIterator;
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Lhs& lhs, const Rhs& rhs)
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : m_lhs(lhs), m_rhs(rhs)
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT(!Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE SparseDenseOuterProduct(const Rhs& rhs, const Lhs& lhs)
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : m_lhs(lhs), m_rhs(rhs)
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      EIGEN_STATIC_ASSERT(Tr,YOU_MADE_A_PROGRAMMING_MISTAKE);
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index rows() const { return Tr ? m_rhs.rows() : m_lhs.rows(); }
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE Index cols() const { return Tr ? m_lhs.cols() : m_rhs.cols(); }
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE const _LhsNested& lhs() const { return m_lhs; }
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE const _RhsNested& rhs() const { return m_rhs; }
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    LhsNested m_lhs;
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RhsNested m_rhs;
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs, bool Transpose>
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass SparseDenseOuterProduct<Lhs,Rhs,Transpose>::InnerIterator : public _LhsNested::InnerIterator
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename _LhsNested::InnerIterator Base;
1207faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    typedef typename SparseDenseOuterProduct::Index Index;
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE InnerIterator(const SparseDenseOuterProduct& prod, Index outer)
1237faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      : Base(prod.lhs(), 0), m_outer(outer), m_factor(get(prod.rhs(), outer, typename internal::traits<Rhs>::StorageKind() ))
1247faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    { }
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index outer() const { return m_outer; }
1277faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline Index row() const { return Transpose ? m_outer : Base::index(); }
1287faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    inline Index col() const { return Transpose ? Base::index() : m_outer; }
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Scalar value() const { return Base::value() * m_factor; }
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
1337faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    static Scalar get(const _RhsNested &rhs, Index outer, Dense = Dense())
1347faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    {
1357faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      return rhs.coeff(outer);
1367faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    }
1377faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
1387faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    static Scalar get(const _RhsNested &rhs, Index outer, Sparse = Sparse())
1397faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    {
1407faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      typename Traits::_RhsNested::InnerIterator it(rhs, outer);
1417faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      if (it && it.index()==0)
1427faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez        return it.value();
1437faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
1447faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      return Scalar(0);
1457faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    }
1467faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez
1477faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    Index m_outer;
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Scalar m_factor;
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs>
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<SparseTimeDenseProduct<Lhs,Rhs> >
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath : traits<ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs> >
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Dense StorageKind;
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef MatrixXpr XprKind;
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename SparseLhsType, typename DenseRhsType, typename DenseResType,
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         int LhsStorageOrder = ((SparseLhsType::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor,
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         bool ColPerCol = ((DenseRhsType::Flags&RowMajorBit)==0) || DenseRhsType::ColsAtCompileTime==1>
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct sparse_time_dense_product_impl;
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, RowMajor, true>
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
169c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
170c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseResType>::type Res;
171c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::Index Index;
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::InnerIterator LhsInnerIterator;
1737faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index c=0; c<rhs.cols(); ++c)
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
1777faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      Index n = lhs.outerSize();
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for(Index j=0; j<n; ++j)
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        typename Res::Scalar tmp(0);
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for(LhsInnerIterator it(lhs,j); it ;++it)
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          tmp += it.value() * rhs.coeff(it.index(),c);
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        res.coeffRef(j,c) = alpha * tmp;
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
190c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, ColMajor, true>
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
193c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseResType>::type Res;
195c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::InnerIterator LhsInnerIterator;
196c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::Index Index;
1977faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index c=0; c<rhs.cols(); ++c)
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
201c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for(Index j=0; j<lhs.outerSize(); ++j)
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        typename Res::Scalar rhs_j = alpha * rhs.coeff(j,c);
204c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for(LhsInnerIterator it(lhs,j); it ;++it)
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          res.coeffRef(it.index(),c) += it.value() * rhs_j;
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, RowMajor, false>
213c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
216c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseResType>::type Res;
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::InnerIterator LhsInnerIterator;
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::Index Index;
2197faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
221c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index j=0; j<lhs.outerSize(); ++j)
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      typename Res::RowXpr res_j(res.row(j));
224c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for(LhsInnerIterator it(lhs,j); it ;++it)
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        res_j += (alpha*it.value()) * rhs.row(it.index());
226c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
227c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
228c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
229c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
230c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
231c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, ColMajor, false>
232c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
233c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
234c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
235c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename internal::remove_all<DenseResType>::type Res;
236c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::InnerIterator LhsInnerIterator;
237c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename Lhs::Index Index;
2387faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
239c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
240c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    for(Index j=0; j<lhs.outerSize(); ++j)
241c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
242c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      typename Rhs::ConstRowXpr rhs_j(rhs.row(j));
243c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for(LhsInnerIterator it(lhs,j); it ;++it)
244c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        res.row(it.index()) += (alpha*it.value()) * rhs_j;
245c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
246c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
247c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
248c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
249c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename SparseLhsType, typename DenseRhsType, typename DenseResType,typename AlphaType>
250c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline void sparse_time_dense_product(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
251c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
252c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType>::run(lhs, rhs, res, alpha);
253c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
254c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
255c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
256c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
257c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs>
258c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass SparseTimeDenseProduct
259c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : public ProductBase<SparseTimeDenseProduct<Lhs,Rhs>, Lhs, Rhs>
260c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
261c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
262c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_PRODUCT_PUBLIC_INTERFACE(SparseTimeDenseProduct)
263c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
264c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    SparseTimeDenseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
265c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {}
266c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
2677faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
268c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
269c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      internal::sparse_time_dense_product(m_lhs, m_rhs, dest, alpha);
270c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
271c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
272c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  private:
273c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    SparseTimeDenseProduct& operator=(const SparseTimeDenseProduct&);
274c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
275c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
276c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
277c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// dense = dense * sparse
278c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
279c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs>
280c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<DenseTimeSparseProduct<Lhs,Rhs> >
281c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath : traits<ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs> >
282c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
283c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Dense StorageKind;
284c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
285c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
286c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
287c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Lhs, typename Rhs>
288c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass DenseTimeSparseProduct
289c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : public ProductBase<DenseTimeSparseProduct<Lhs,Rhs>, Lhs, Rhs>
290c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
291c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
292c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_PRODUCT_PUBLIC_INTERFACE(DenseTimeSparseProduct)
293c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
294c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    DenseTimeSparseProduct(const Lhs& lhs, const Rhs& rhs) : Base(lhs,rhs)
295c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {}
296c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
2977faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez    template<typename Dest> void scaleAndAddTo(Dest& dest, const Scalar& alpha) const
298c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
299c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Transpose<const _LhsNested> lhs_t(m_lhs);
300c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Transpose<const _RhsNested> rhs_t(m_rhs);
301c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Transpose<Dest> dest_t(dest);
302c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      internal::sparse_time_dense_product(rhs_t, lhs_t, dest_t, alpha);
303c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
304c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
305c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  private:
306c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    DenseTimeSparseProduct& operator=(const DenseTimeSparseProduct&);
307c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
308c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
309c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// sparse * dense
310c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
311c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename OtherDerived>
312c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline const typename SparseDenseProductReturnType<Derived,OtherDerived>::Type
313c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathSparseMatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
314c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
315c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return typename SparseDenseProductReturnType<Derived,OtherDerived>::Type(derived(), other.derived());
316c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
317c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
318c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
319c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
320c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_SPARSEDENSEPRODUCT_H
321