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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_Tensor4_h) 00043 #define Intrepid_MiniTensor_Tensor4_h 00044 00045 #include "Intrepid_MiniTensor_Tensor3.h" 00046 00047 namespace Intrepid { 00048 00049 template<typename T, Index N> 00050 struct tensor4_store 00051 { 00052 typedef Storage<T, dimension_power<N, 4>::value> type; 00053 }; 00054 00058 template<typename T, Index N = DYNAMIC> 00059 class Tensor4 : public TensorBase<T, typename tensor4_store<T, N>::type> 00060 { 00061 public: 00062 00066 static 00067 Index const 00068 ORDER = 4; 00069 00073 static 00074 bool const 00075 IS_DYNAMIC = N == DYNAMIC; 00076 00080 typedef typename tensor4_store<T, N>::type 00081 Store; 00082 00086 static 00087 Index 00088 get_order() {return ORDER;} 00089 00094 explicit 00095 Tensor4(); 00096 00097 explicit 00098 Tensor4(Index const dimension); 00099 00105 explicit 00106 Tensor4(ComponentValue const value); 00107 00108 explicit 00109 Tensor4(Index const dimension, ComponentValue const value); 00110 00116 explicit 00117 Tensor4(T const * data_ptr); 00118 00119 explicit 00120 Tensor4(Index const dimension, T const * data_ptr); 00121 00126 Tensor4(Tensor4<T, N> const & A); 00127 00131 Tensor4(Tensor<T, dimension_square<N>::value> const & A); 00135 ~Tensor4(); 00136 00144 T const & 00145 operator()( 00146 Index const i, 00147 Index const j, 00148 Index const k, 00149 Index const l) const; 00150 00158 T & 00159 operator()( 00160 Index const i, 00161 Index const j, 00162 Index const k, 00163 Index const l); 00164 00168 Index 00169 get_dimension() const; 00170 00174 void 00175 set_dimension(Index const dimension); 00176 00177 }; 00178 00185 template<typename S, typename T, Index N> 00186 Tensor4<typename Promote<S, T>::type, N> 00187 operator+(Tensor4<S, N> const & A, Tensor4<T, N> const & B); 00188 00195 template<typename S, typename T, Index N> 00196 Tensor4<typename Promote<S, T>::type, N> 00197 operator-(Tensor4<S, N> const & A, Tensor4<T, N> const & B); 00198 00203 template<typename T, Index N> 00204 Tensor4<T, N> 00205 operator-(Tensor4<T, N> const & A); 00206 00211 template<typename T, Index N> 00212 bool 00213 operator==(Tensor4<T, N> const & A, Tensor4<T, N> const & B); 00214 00219 template<typename T, Index N> 00220 bool 00221 operator!=(Tensor4<T, N> const & A, Tensor4<T, N> const & B); 00222 00229 template<typename S, typename T, Index N> 00230 typename lazy_disable_if< order_1234<S>, apply_tensor4< Promote<S,T>, N> >::type 00231 operator*(S const & s, Tensor4<T, N> const & A); 00232 00239 template<typename S, typename T, Index N> 00240 typename lazy_disable_if< order_1234<S>, apply_tensor4< Promote<S,T>, N> >::type 00241 operator*(Tensor4<T, N> const & A, S const & s); 00242 00249 template<typename S, typename T, Index N> 00250 Tensor4<typename Promote<S, T>::type, N> 00251 operator/(Tensor4<T, N> const & A, S const & s); 00252 00259 template<typename S, typename T, Index N> 00260 Tensor4<typename Promote<S, T>::type, N> 00261 operator/(S const & s, Tensor4<T, N> const & A); 00262 00266 template<typename T, Index N> 00267 Tensor4<T, N> 00268 transpose(Tensor4<T, N> const & A); 00269 00274 template<typename T, Index N> 00275 const Tensor4<T, N> 00276 identity_1(); 00277 00278 template<typename T> 00279 const Tensor4<T, DYNAMIC> 00280 identity_1(Index const dimension); 00281 00282 template<typename T, Index N> 00283 const Tensor4<T, N> 00284 identity_1(Index const dimension); 00285 00290 template<typename T, Index N> 00291 const Tensor4<T, N> 00292 identity_2(); 00293 00294 template<typename T> 00295 const Tensor4<T, DYNAMIC> 00296 identity_2(Index const dimension); 00297 00298 template<typename T, Index N> 00299 const Tensor4<T, N> 00300 identity_2(Index const dimension); 00301 00306 template<typename T, Index N> 00307 const Tensor4<T, N> 00308 identity_3(); 00309 00310 template<typename T> 00311 const Tensor4<T, DYNAMIC> 00312 identity_3(Index const dimension); 00313 00314 template<typename T, Index N> 00315 const Tensor4<T, N> 00316 identity_3(Index const dimension); 00317 00322 template<typename T, Index N> 00323 Tensor4<T, N> 00324 inverse(Tensor4<T, N> const & A); 00325 00332 template<typename S, typename T, Index N> 00333 Tensor3<typename Promote<S, T>::type, N> 00334 dot(Tensor4<T, N> const & A, Vector<S, N> const & u); 00335 00342 template<typename S, typename T, Index N> 00343 Tensor3<typename Promote<S, T>::type, N> 00344 dot(Vector<S, N> const & u, Tensor4<T, N> const & A); 00345 00352 template<typename S, typename T, Index N> 00353 Tensor3<typename Promote<S, T>::type, N> 00354 dot2(Tensor4<T, N> const & A, Vector<S, N> const & u); 00355 00362 template<typename S, typename T, Index N> 00363 Tensor3<typename Promote<S, T>::type, N> 00364 dot2(Vector<S, N> const & u, Tensor4<T, N> const & A); 00365 00372 template<typename S, typename T, Index N> 00373 Tensor<typename Promote<S, T>::type, N> 00374 dotdot(Tensor4<T, N> const & A, Tensor<S, N> const & B); 00375 00382 template<typename S, typename T, Index N> 00383 Tensor<typename Promote<S, T>::type, N> 00384 dotdot(Tensor<S, N> const & B, Tensor4<T, N> const & A); 00385 00392 template<typename S, typename T, Index N> 00393 Tensor4<typename Promote<S, T>::type, N> 00394 dotdot(Tensor4<S, N> const & A, Tensor4<T, N> const & B); 00395 00402 template<typename S, typename T, Index N> 00403 Tensor4<typename Promote<S, T>::type, N> 00404 tensor(Tensor<S, N> const & A, Tensor<T, N> const & B); 00405 00412 template<typename S, typename T, Index N> 00413 Tensor4<typename Promote<S, T>::type, N> 00414 tensor2(Tensor<S, N> const & A, Tensor<T, N> const & B); 00415 00422 template<typename S, typename T, Index N> 00423 Tensor4<typename Promote<S, T>::type, N> 00424 tensor3(Tensor<S, N> const & A, Tensor<T, N> const & B); 00425 00432 template<typename S, typename T, Index N> 00433 Tensor4<typename Promote<S, T>::type, N> 00434 dot(Tensor4<T, N> const & A, Tensor<S, N> const & B); 00435 00442 template<typename S, typename T, Index N> 00443 Tensor4<typename Promote<S, T>::type, N> 00444 dot_t(Tensor4<T, N> const & A, Tensor<S, N> const & B); 00445 00452 template<typename S, typename T, Index N> 00453 Tensor4<typename Promote<S, T>::type, N> 00454 dot(Tensor<S> const & A, Tensor4<T, N> const & B); 00455 00462 template<typename S, typename T, Index N> 00463 Tensor4<typename Promote<S, T>::type, N> 00464 t_dot(Tensor<S, N> const & A, Tensor4<T, N> const & B); 00465 00472 template<typename S, typename T, Index N> 00473 Tensor4<typename Promote<S, T>::type, N> 00474 dot2(Tensor4<T, N> const & A, Tensor<S, N> const & B); 00475 00482 template<typename S, typename T, Index N> 00483 Tensor4<typename Promote<S, T>::type, N> 00484 dot2_t(Tensor4<T, N> const & A, Tensor<S, N> const & B); 00485 00492 template<typename S, typename T, Index N> 00493 Tensor4<typename Promote<S, T>::type, N> 00494 dot2(Tensor<S, N> const & A, Tensor4<T, N> const & B); 00495 00502 template<typename S, typename T, Index N> 00503 Tensor4<typename Promote<S, T>::type, N> 00504 t_dot2(Tensor<S, N> const & A, Tensor4<T, N> const & B); 00505 00514 template<typename S, typename T, Index N> 00515 Tensor4<typename Promote<S, T>::type, N> 00516 odot(Tensor<S, N> const & A, Tensor<T, N> const & B); 00517 00524 template<typename S, typename T, Index N> 00525 Tensor4<typename Promote<S, T>::type, N> 00526 kronecker(Tensor<S, N> const & A, Tensor4<T, N> const & B); 00527 00534 template<typename T, Index N> 00535 std::istream & 00536 operator>>(std::istream & is, Tensor4<T, N> & A); 00537 00544 template<typename T, Index N> 00545 std::ostream & 00546 operator<<(std::ostream & os, Tensor4<T, N> const & A); 00547 00548 } // namespace Intrepid 00549 00550 #include "Intrepid_MiniTensor_Tensor4.i.h" 00551 #include "Intrepid_MiniTensor_Tensor4.t.h" 00552 00553 #endif //Intrepid_MiniTensor_Tensor4_h
1.7.6.1