IncompleteLU.h
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00001 // This file is part of Eigen, a lightweight C++ template library
00002 // for linear algebra.
00003 //
00004 // Copyright (C) 2011 Gael Guennebaud <gael.guennebaud@inria.fr>
00005 //
00006 // This Source Code Form is subject to the terms of the Mozilla
00007 // Public License v. 2.0. If a copy of the MPL was not distributed
00008 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
00009 
00010 #ifndef EIGEN_INCOMPLETE_LU_H
00011 #define EIGEN_INCOMPLETE_LU_H
00012 
00013 namespace Eigen { 
00014 
00015 template <typename _Scalar>
00016 class IncompleteLU
00017 {
00018     typedef _Scalar Scalar;
00019     typedef Matrix<Scalar,Dynamic,1> Vector;
00020     typedef typename Vector::Index Index;
00021     typedef SparseMatrix<Scalar,RowMajor> FactorType;
00022 
00023   public:
00024     typedef Matrix<Scalar,Dynamic,Dynamic> MatrixType;
00025 
00026     IncompleteLU() : m_isInitialized(false) {}
00027 
00028     template<typename MatrixType>
00029     IncompleteLU(const MatrixType& mat) : m_isInitialized(false)
00030     {
00031       compute(mat);
00032     }
00033 
00034     Index rows() const { return m_lu.rows(); }
00035     Index cols() const { return m_lu.cols(); }
00036 
00037     template<typename MatrixType>
00038     IncompleteLU& compute(const MatrixType& mat)
00039     {
00040       m_lu = mat;
00041       int size = mat.cols();
00042       Vector diag(size);
00043       for(int i=0; i<size; ++i)
00044       {
00045         typename FactorType::InnerIterator k_it(m_lu,i);
00046         for(; k_it && k_it.index()<i; ++k_it)
00047         {
00048           int k = k_it.index();
00049           k_it.valueRef() /= diag(k);
00050 
00051           typename FactorType::InnerIterator j_it(k_it);
00052           typename FactorType::InnerIterator kj_it(m_lu, k);
00053           while(kj_it && kj_it.index()<=k) ++kj_it;
00054           for(++j_it; j_it; )
00055           {
00056             if(kj_it.index()==j_it.index())
00057             {
00058               j_it.valueRef() -= k_it.value() * kj_it.value();
00059               ++j_it;
00060               ++kj_it;
00061             }
00062             else if(kj_it.index()<j_it.index()) ++kj_it;
00063             else                                ++j_it;
00064           }
00065         }
00066         if(k_it && k_it.index()==i) diag(i) = k_it.value();
00067         else                        diag(i) = 1;
00068       }
00069       m_isInitialized = true;
00070       return *this;
00071     }
00072 
00073     template<typename Rhs, typename Dest>
00074     void _solve(const Rhs& b, Dest& x) const
00075     {
00076       x = m_lu.template triangularView<UnitLower>().solve(b);
00077       x = m_lu.template triangularView<Upper>().solve(x);
00078     }
00079 
00080     template<typename Rhs> inline const internal::solve_retval<IncompleteLU, Rhs>
00081     solve(const MatrixBase<Rhs>& b) const
00082     {
00083       eigen_assert(m_isInitialized && "IncompleteLU is not initialized.");
00084       eigen_assert(cols()==b.rows()
00085                 && "IncompleteLU::solve(): invalid number of rows of the right hand side matrix b");
00086       return internal::solve_retval<IncompleteLU, Rhs>(*this, b.derived());
00087     }
00088 
00089   protected:
00090     FactorType m_lu;
00091     bool m_isInitialized;
00092 };
00093 
00094 namespace internal {
00095 
00096 template<typename _MatrixType, typename Rhs>
00097 struct solve_retval<IncompleteLU<_MatrixType>, Rhs>
00098   : solve_retval_base<IncompleteLU<_MatrixType>, Rhs>
00099 {
00100   typedef IncompleteLU<_MatrixType> Dec;
00101   EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
00102 
00103   template<typename Dest> void evalTo(Dest& dst) const
00104   {
00105     dec()._solve(rhs(),dst);
00106   }
00107 };
00108 
00109 } // end namespace internal
00110 
00111 } // end namespace Eigen
00112 
00113 #endif // EIGEN_INCOMPLETE_LU_H


win_eigen
Author(s): Daniel Stonier
autogenerated on Wed Sep 16 2015 07:10:49