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00001 //@HEADER 00002 // ************************************************************************ 00003 // 00004 // Belos: Block Linear Solvers Package 00005 // Copyright 2004 Sandia Corporation 00006 // 00007 // Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation, 00008 // the U.S. Government retains certain rights in this software. 00009 // 00010 // Redistribution and use in source and binary forms, with or without 00011 // modification, are permitted provided that the following conditions are 00012 // met: 00013 // 00014 // 1. Redistributions of source code must retain the above copyright 00015 // notice, this list of conditions and the following disclaimer. 00016 // 00017 // 2. Redistributions in binary form must reproduce the above copyright 00018 // notice, this list of conditions and the following disclaimer in the 00019 // documentation and/or other materials provided with the distribution. 00020 // 00021 // 3. Neither the name of the Corporation nor the names of the 00022 // contributors may be used to endorse or promote products derived from 00023 // this software without specific prior written permission. 00024 // 00025 // THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY 00026 // EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 00027 // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 00028 // PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE 00029 // CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 00030 // EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 00031 // PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00032 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00033 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00034 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00035 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00036 // 00037 // Questions? Contact Michael A. Heroux (maherou@sandia.gov) 00038 // 00039 // ************************************************************************ 00040 //@HEADER 00041 00042 #ifndef BELOS_GMRESPOLYOP_HPP 00043 #define BELOS_GMRESPOLYOP_HPP 00044 00049 #include "BelosOperatorTraits.hpp" 00050 #include "BelosMultiVecTraits.hpp" 00051 #include "BelosLinearProblem.hpp" 00052 #include "BelosConfigDefs.hpp" 00053 #include "Teuchos_RCP.hpp" 00054 #include "Teuchos_SerialDenseMatrix.hpp" 00055 #include "Teuchos_SerialDenseVector.hpp" 00056 00068 namespace Belos { 00069 00070 template <class ScalarType, class MV, class OP> 00071 class GmresPolyOp { 00072 public: 00073 00075 00076 00078 GmresPolyOp() {} 00079 00081 GmresPolyOp( const Teuchos::RCP<LinearProblem<ScalarType,MV,OP> >& problem_in, 00082 const Teuchos::RCP<Teuchos::SerialDenseMatrix<int, ScalarType> >& hess, 00083 const Teuchos::RCP<Teuchos::SerialDenseMatrix<int, ScalarType> >& comb, 00084 const Teuchos::RCP<Teuchos::SerialDenseVector<int, ScalarType> >& scal 00085 ) 00086 : problem_(problem_in), LP_(problem_in->getLeftPrec()), RP_(problem_in->getRightPrec()), H_(hess), y_(comb), r0_(scal) 00087 { 00088 dim_ = y_->numRows(); 00089 } 00090 00092 virtual ~GmresPolyOp() {}; 00094 00096 00097 00103 void Apply ( const MV& x, MV& y, ETrans trans=NOTRANS ); 00104 00105 private: 00106 00107 typedef MultiVecTraits<ScalarType,MV> MVT; 00108 typedef Teuchos::ScalarTraits<ScalarType> SCT ; 00109 00110 int dim_; 00111 Teuchos::RCP<LinearProblem<ScalarType,MV,OP> > problem_; 00112 Teuchos::RCP<const OP> LP_, RP_; 00113 Teuchos::RCP<MV> V_, wL_, wR_; 00114 Teuchos::RCP<Teuchos::SerialDenseMatrix<int,ScalarType> > H_, y_; 00115 Teuchos::RCP<Teuchos::SerialDenseVector<int,ScalarType> > r0_; 00116 }; 00117 00118 template <class ScalarType, class MV, class OP> 00119 void GmresPolyOp<ScalarType, MV, OP>::Apply( const MV& x, MV& y, ETrans trans ) 00120 { 00121 // Initialize vector storage. 00122 if (V_ == Teuchos::null) { 00123 V_ = MVT::Clone( x, dim_ ); 00124 if (LP_ != Teuchos::null) { 00125 wL_ = MVT::Clone( y, 1 ); 00126 } 00127 if (RP_ != Teuchos::null) { 00128 wR_ = MVT::Clone( y, 1 ); 00129 } 00130 } 00131 // 00132 // Apply polynomial to x. 00133 // 00134 int n = MVT::GetNumberVecs( x ); 00135 std::vector<int> idxi(1), idxi2, idxj(1); 00136 00137 // Select vector x[j]. 00138 for (int j=0; j<n; ++j) { 00139 00140 idxi[0] = 0; 00141 idxj[0] = j; 00142 Teuchos::RCP<const MV> x_view = MVT::CloneView( x, idxj ); 00143 Teuchos::RCP<MV> y_view = MVT::CloneViewNonConst( y, idxj ); 00144 if (LP_ != Teuchos::null) { 00145 Teuchos::RCP<MV> v_curr = MVT::CloneViewNonConst( *V_, idxi ); 00146 problem_->applyLeftPrec( *x_view, *v_curr ); // Left precondition x into the first vector of V 00147 } else { 00148 MVT::SetBlock( *x_view, idxi, *V_ ); // Set x as the first vector of V 00149 } 00150 00151 for (int i=0; i<dim_-1; ++i) { 00152 00153 // Get views into the current and next vectors 00154 idxi2.resize(i+1); 00155 for (int ii=0; ii<i+1; ++ii) { idxi2[ii] = ii; } 00156 Teuchos::RCP<const MV> v_prev = MVT::CloneView( *V_, idxi2 ); 00157 // the tricks below with wR_ and wL_ (potentially set to v_curr and v_next) unfortunately imply that 00158 // v_curr and v_next must be non-const views. 00159 Teuchos::RCP<MV> v_curr = MVT::CloneViewNonConst( *V_, idxi ); 00160 idxi[0] = i+1; 00161 Teuchos::RCP<MV> v_next = MVT::CloneViewNonConst( *V_, idxi ); 00162 00163 //--------------------------------------------- 00164 // Apply operator to next vector 00165 //--------------------------------------------- 00166 // 1) Apply right preconditioner, if we have one. 00167 if (RP_ != Teuchos::null) { 00168 problem_->applyRightPrec( *v_curr, *wR_ ); 00169 } else { 00170 wR_ = v_curr; 00171 } 00172 // 2) Check for right preconditioner, if none exists, point at the next vector. 00173 if (LP_ == Teuchos::null) { 00174 wL_ = v_next; 00175 } 00176 // 3) Apply operator A. 00177 problem_->applyOp( *wR_, *wL_ ); 00178 // 4) Apply left preconditioner, if we have one. 00179 if (LP_ != Teuchos::null) { 00180 problem_->applyLeftPrec( *wL_, *v_next ); 00181 } 00182 00183 // Compute A*v_curr - v_prev*H(1:i,i) 00184 Teuchos::SerialDenseMatrix<int,ScalarType> h(Teuchos::View,*H_,i+1,1,0,i); 00185 MVT::MvTimesMatAddMv( -SCT::one(), *v_prev, h, SCT::one(), *v_next ); 00186 00187 // Scale by H(i+1,i) 00188 MVT::MvScale( *v_next, SCT::one()/(*H_)(i+1,i) ); 00189 } 00190 00191 // Compute output y = V*y_./r0_ 00192 if (RP_ != Teuchos::null) { 00193 MVT::MvTimesMatAddMv( SCT::one()/(*r0_)(0), *V_, *y_, SCT::zero(), *wR_ ); 00194 problem_->applyRightPrec( *wR_, *y_view ); 00195 } 00196 else { 00197 MVT::MvTimesMatAddMv( SCT::one()/(*r0_)(0), *V_, *y_, SCT::zero(), *y_view ); 00198 } 00199 } // (int j=0; j<n; ++j) 00200 } // end Apply() 00201 00203 // 00204 // Implementation of the Belos::OperatorTraits for Belos::GmresPolyOp 00205 // 00207 00211 template <class ScalarType, class MV, class OP> 00212 class OperatorTraits < ScalarType, MV, GmresPolyOp<ScalarType,MV,OP> > 00213 { 00214 public: 00215 00217 static void Apply ( const GmresPolyOp<ScalarType,MV,OP>& Op, 00218 const MV& x, MV& y, 00219 ETrans trans=NOTRANS ) 00220 { Op.Apply( x, y, trans ); } 00221 00222 }; 00223 00224 } // end Belos namespace 00225 00226 #endif 00227 00228 // end of file BelosGmresPolyOp.hpp
1.7.6.1