1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2009 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_SPARSE_TRIANGULARVIEW_H
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define EIGEN_SPARSE_TRIANGULARVIEW_H
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType, int Mode>
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct traits<SparseTriangularView<MatrixType,Mode> >
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath: public traits<MatrixType>
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{};
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // namespace internal
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType, int Mode> class SparseTriangularView
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  : public SparseMatrixBase<SparseTriangularView<MatrixType,Mode> >
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    enum { SkipFirst = ((Mode&Lower) && !(MatrixType::Flags&RowMajorBit))
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                    || ((Mode&Upper) &&  (MatrixType::Flags&RowMajorBit)),
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath           SkipLast = !SkipFirst,
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath           HasUnitDiag = (Mode&UnitDiag) ? 1 : 0
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    };
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_SPARSE_PUBLIC_INTERFACE(SparseTriangularView)
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    class InnerIterator;
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    class ReverseInnerIterator;
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index rows() const { return m_matrix.rows(); }
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index cols() const { return m_matrix.cols(); }
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename MatrixType::Nested MatrixTypeNested;
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename internal::remove_reference<MatrixTypeNested>::type MatrixTypeNestedNonRef;
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename internal::remove_all<MatrixTypeNested>::type MatrixTypeNestedCleaned;
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline SparseTriangularView(const MatrixType& matrix) : m_matrix(matrix) {}
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    /** \internal */
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline const MatrixTypeNestedCleaned& nestedExpression() const { return m_matrix; }
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<typename OtherDerived>
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typename internal::plain_matrix_type_column_major<OtherDerived>::type
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    solve(const MatrixBase<OtherDerived>& other) const;
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<typename OtherDerived> void solveInPlace(MatrixBase<OtherDerived>& other) const;
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    template<typename OtherDerived> void solveInPlace(SparseMatrixBase<OtherDerived>& other) const;
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixTypeNested m_matrix;
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType, int Mode>
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass SparseTriangularView<MatrixType,Mode>::InnerIterator : public MatrixTypeNestedCleaned::InnerIterator
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename MatrixTypeNestedCleaned::InnerIterator Base;
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE InnerIterator(const SparseTriangularView& view, Index outer)
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : Base(view.nestedExpression(), outer), m_returnOne(false)
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if(SkipFirst)
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        while((*this) && (HasUnitDiag ? this->index()<=outer : this->index()<outer))
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Base::operator++();
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        if(HasUnitDiag)
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          m_returnOne = true;
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      else if(HasUnitDiag && ((!Base::operator bool()) || Base::index()>=Base::outer()))
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        if((!SkipFirst) && Base::operator bool())
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Base::operator++();
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_returnOne = true;
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE InnerIterator& operator++()
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if(HasUnitDiag && m_returnOne)
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_returnOne = false;
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      else
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      {
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Base::operator++();
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        if(HasUnitDiag && (!SkipFirst) && ((!Base::operator bool()) || Base::index()>=Base::outer()))
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        {
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          if((!SkipFirst) && Base::operator bool())
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            Base::operator++();
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          m_returnOne = true;
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return *this;
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index row() const { return Base::row(); }
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index col() const { return Base::col(); }
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index index() const
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if(HasUnitDiag && m_returnOne)  return Base::outer();
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      else                            return Base::index();
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Scalar value() const
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if(HasUnitDiag && m_returnOne)  return Scalar(1);
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      else                            return Base::value();
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE operator bool() const
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if(HasUnitDiag && m_returnOne)
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        return true;
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return (SkipFirst ? Base::operator bool() : (Base::operator bool() && this->index() <= this->outer()));
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    bool m_returnOne;
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType, int Mode>
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathclass SparseTriangularView<MatrixType,Mode>::ReverseInnerIterator : public MatrixTypeNestedCleaned::ReverseInnerIterator
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    typedef typename MatrixTypeNestedCleaned::ReverseInnerIterator Base;
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  public:
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE ReverseInnerIterator(const SparseTriangularView& view, Index outer)
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      : Base(view.nestedExpression(), outer)
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      eigen_assert((!HasUnitDiag) && "ReverseInnerIterator does not support yet triangular views with a unit diagonal");
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if(SkipLast)
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        while((*this) && this->index()>outer)
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          --(*this);
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE InnerIterator& operator--()
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    { Base::operator--(); return *this; }
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index row() const { return Base::row(); }
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline Index col() const { return Base::col(); }
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_STRONG_INLINE operator bool() const
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return SkipLast ? Base::operator bool() : (Base::operator bool() && this->index() >= this->outer());
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Derived>
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<int Mode>
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathinline const SparseTriangularView<Derived, Mode>
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan KamathSparseMatrixBase<Derived>::triangularView() const
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  return derived();
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#endif // EIGEN_SPARSE_TRIANGULARVIEW_H
165