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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: Alejandro Mota (amota@sandia.gov) 00038 // 00039 // ************************************************************************ 00040 // @HEADER 00041 00042 #if !defined(Intrepid_MiniTensor_Tensor3_h) 00043 #define Intrepid_MiniTensor_Tensor3_h 00044 00045 #include "Intrepid_MiniTensor_Tensor.h" 00046 00047 namespace Intrepid { 00048 00049 template<typename T, Index N> 00050 struct tensor3_store 00051 { 00052 typedef Storage<T, dimension_power<N, 3>::value> type; 00053 }; 00054 00058 template<typename T, Index N = DYNAMIC> 00059 class Tensor3 : public TensorBase<T, typename tensor3_store<T, N>::type> 00060 { 00061 public: 00062 00066 static 00067 Index const 00068 ORDER = 3; 00069 00073 static 00074 bool const 00075 IS_DYNAMIC = N == DYNAMIC; 00076 00080 typedef typename tensor3_store<T, N>::type 00081 Store; 00082 00086 static 00087 Index 00088 get_order() {return ORDER;} 00089 00094 explicit 00095 Tensor3(); 00096 00097 explicit 00098 Tensor3(Index const dimension); 00099 00105 explicit 00106 Tensor3(ComponentValue const value); 00107 00108 explicit 00109 Tensor3(Index const dimension, ComponentValue const value); 00110 00116 explicit 00117 Tensor3(T const * data_ptr); 00118 00119 explicit 00120 Tensor3(Index const dimension, T const * data_ptr); 00121 00126 Tensor3(Tensor3<T, N> const & A); 00127 00131 ~Tensor3(); 00132 00139 T const & 00140 operator()(Index const i, Index const j, Index const k) const; 00141 00148 T & 00149 operator()(Index const i, Index const j, Index const k); 00150 00154 Index 00155 get_dimension() const; 00156 00160 void 00161 set_dimension(Index const dimension); 00162 00163 }; 00164 00171 template<typename S, typename T, Index N> 00172 Tensor3<typename Promote<S, T>::type, N> 00173 operator+(Tensor3<S, N> const & A, Tensor3<T, N> const & B); 00174 00181 template<typename S, typename T, Index N> 00182 Tensor3<typename Promote<S, T>::type, N> 00183 operator-(Tensor3<S, N> const & A, Tensor3<T, N> const & B); 00184 00189 template<typename T, Index N> 00190 Tensor3<T, N> 00191 operator-(Tensor3<T, N> const & A); 00192 00197 template<typename T, Index N> 00198 bool 00199 operator==(Tensor3<T, N> const & A, Tensor3<T, N> const & B); 00200 00205 template<typename T, Index N> 00206 bool 00207 operator!=(Tensor3<T, N> const & A, Tensor3<T, N> const & B); 00208 00215 template<typename S, typename T, Index N> 00216 typename lazy_disable_if< order_1234<S>, apply_tensor3< Promote<S,T>, N> >::type 00217 operator*(S const & s, Tensor3<T, N> const & A); 00218 00225 template<typename S, typename T, Index N> 00226 typename lazy_disable_if< order_1234<S>, apply_tensor3< Promote<S,T>, N> >::type 00227 operator*(Tensor3<T, N> const & A, S const & s); 00228 00235 template<typename S, typename T, Index N> 00236 Tensor3<typename Promote<S, T>::type, N> 00237 operator/(Tensor3<T, N> const & A, S const & s); 00238 00245 template<typename S, typename T, Index N> 00246 Tensor3<typename Promote<S, T>::type, N> 00247 operator/(S const & s, Tensor3<T, N> const & A); 00248 00255 template<typename S, typename T, Index N> 00256 Tensor<typename Promote<S, T>::type, N> 00257 dot(Tensor3<T, N> const & A, Vector<S, N> const & u); 00258 00265 template<typename S, typename T, Index N> 00266 Tensor<typename Promote<S, T>::type, N> 00267 dot(Vector<S, N> const & u, Tensor3<T, N> const & A); 00268 00275 template<typename S, typename T, Index N> 00276 Tensor<typename Promote<S, T>::type, N> 00277 dot2(Tensor3<T, N> const & A, Vector<S> const & u); 00278 00285 template<typename S, typename T, Index N> 00286 Tensor<typename Promote<S, T>::type, N> 00287 dot2(Vector<S, N> const & u, Tensor3<T, N> const & A); 00288 00295 template<typename S, typename T, Index N> 00296 Tensor3<typename Promote<S, T>::type, N> 00297 dot(Tensor3<T, N> const & A, Tensor<S, N> const & B); 00298 00305 template<typename S, typename T, Index N> 00306 Tensor3<typename Promote<S, T>::type, N> 00307 dot(Tensor<S, N> const & A, Tensor3<T, N> const & B); 00308 00315 template<typename S, typename T, Index N> 00316 Tensor3<typename Promote<S, T>::type, N> 00317 dot2(Tensor3<T, N> const & A, Tensor<S, N> const & B); 00318 00325 template<typename S, typename T, Index N> 00326 Tensor3<typename Promote<S, T>::type, N> 00327 dot2(Tensor<S, N> const & A, Tensor3<T, N> const & B); 00328 00335 template<typename T, Index N> 00336 std::istream & 00337 operator>>(std::istream & is, Tensor3<T, N> & A); 00338 00345 template<typename T, Index N> 00346 std::ostream & 00347 operator<<(std::ostream & os, Tensor3<T, N> const & A); 00348 00349 } // namespace Intrepid 00350 00351 #include "Intrepid_MiniTensor_Tensor3.i.h" 00352 #include "Intrepid_MiniTensor_Tensor3.t.h" 00353 00354 #endif //Intrepid_MiniTensor_Tensor3_h
1.7.6.1