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Intrepid
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00001 // @HEADER 00002 // ************************************************************************ 00003 // 00004 // Intrepid Package 00005 // Copyright (2007) Sandia Corporation 00006 // 00007 // Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive 00008 // license for use of this work by or on behalf of the U.S. Government. 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 Pavel Bochev (pbboche@sandia.gov) 00038 // Denis Ridzal (dridzal@sandia.gov), or 00039 // Kara Peterson (kjpeter@sandia.gov) 00040 // 00041 // ************************************************************************ 00042 // @HEADER 00043 00049 namespace Intrepid { 00050 00051 template<class Scalar, class UserVector> 00052 AdaptiveSparseGridInterface<Scalar,UserVector>::AdaptiveSparseGridInterface( 00053 int dimension, 00054 std::vector<EIntrepidBurkardt> rule1D, 00055 std::vector<EIntrepidGrowth> growth1D, 00056 int maxLevel, 00057 bool isNormalized) { 00058 00059 TEUCHOS_TEST_FOR_EXCEPTION((dimension!=(int)rule1D.size()|| 00060 dimension!=(int)growth1D.size()),std::out_of_range, 00061 ">>> ERROR (AdaptiveSparseGridInterface): Dimension mismatch for inputs."); 00062 00063 dimension_ = dimension; 00064 rule1D_ = rule1D; 00065 growth1D_ = growth1D; 00066 maxLevel_ = maxLevel; 00067 isNormalized_ = isNormalized; 00068 } 00069 00070 template<class Scalar, class UserVector> 00071 void AdaptiveSparseGridInterface<Scalar,UserVector>::init(UserVector & output) { 00072 std::vector<int> index(dimension_,1); 00073 CubatureTensorSorted<Scalar> cubRule( 00074 dimension_,index,rule1D_,growth1D_,isNormalized_); 00075 00076 // Evaluate the initial contribution to the integral 00077 initialDiff_ = 1.0; 00078 output.Update(-1.0,output); 00079 eval_cubature(output,cubRule); 00080 00081 // Compute the initial error indicator 00082 initialDiff_ = error_indicator(output); 00083 if (fabs(initialDiff_)<INTREPID_TOL) 00084 initialDiff_ = 1.0; 00085 } 00086 00087 template<class Scalar, class UserVector> 00088 bool AdaptiveSparseGridInterface<Scalar,UserVector>::max_level( 00089 std::vector<int> index) { 00090 int dimension = (int)index.size(); 00091 int sum = 0; 00092 for (int i=0; i<dimension; i++) { 00093 sum += index[i]; 00094 } 00095 if (sum <= maxLevel_ + dimension - 1) 00096 return true; 00097 return false; 00098 } 00099 00100 template<class Scalar, class UserVector> 00101 void AdaptiveSparseGridInterface<Scalar,UserVector>::eval_cubature( 00102 UserVector & output, 00103 CubatureTensorSorted<Scalar> & cubRule) { 00104 00105 //int dimf = 0; // Dimension of the integrand 00106 Scalar weight = 0.0; 00107 std::vector<Scalar> point(dimension_,(Scalar)0.0); 00108 //std::vector<Scalar> f(1,0.0); 00109 Teuchos::RCP<UserVector> f = output.Create(); output.Update(-1.0,output); 00110 00111 typename std::map<std::vector<Scalar>,int>::iterator it; 00112 for (it=cubRule.begin(); it!=cubRule.end(); it++) { 00113 // Evaluate Function 00114 point.assign((it->first).begin(),(it->first).end()); // Extract point 00115 f->Update(-1.0,*f); 00116 eval_integrand(*f,point); // Evaluate Integrand at point 00117 00118 // Update integral 00119 weight = cubRule.getWeight(it->second); 00120 output.Update(weight,*f); 00121 } 00122 } 00123 00124 template<class Scalar, class UserVector> 00125 void AdaptiveSparseGridInterface<Scalar,UserVector>::getRule( 00126 std::vector<EIntrepidBurkardt> & rule1D) { 00127 rule1D.clear(); 00128 rule1D.resize(rule1D_.size()); 00129 rule1D = rule1D_; 00130 } 00131 00132 template<class Scalar, class UserVector> 00133 void AdaptiveSparseGridInterface<Scalar,UserVector>::getGrowth( 00134 std::vector<EIntrepidGrowth> & growth1D) { 00135 growth1D.clear(); 00136 growth1D.resize(growth1D_.size()); 00137 growth1D = growth1D_; 00138 } 00139 00140 template<class Scalar, class UserVector> 00141 int AdaptiveSparseGridInterface<Scalar,UserVector>::getDimension(void) { 00142 return dimension_; 00143 } 00144 00145 template<class Scalar, class UserVector> 00146 bool AdaptiveSparseGridInterface<Scalar,UserVector>::isNormalized() { 00147 return isNormalized_; 00148 } 00149 00150 template<class Scalar, class UserVector> 00151 Scalar AdaptiveSparseGridInterface<Scalar,UserVector>::getInitialDiff() { 00152 return initialDiff_; 00153 } 00154 00155 } // end Intrepid namespace 00156 00157 00158
1.7.6.1