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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_TensorBase_h) 00043 #define Intrepid_MiniTensor_TensorBase_h 00044 00045 #include <algorithm> 00046 #include <cassert> 00047 #include <iostream> 00048 #include <vector> 00049 00050 #include "Intrepid_MiniTensor_Storage.h" 00051 #include "Intrepid_MiniTensor_Utilities.h" 00052 00053 namespace Intrepid { 00054 00058 enum ComponentValue { 00059 ZEROS, 00060 ONES, 00061 SEQUENCE, 00062 RANDOM_UNIFORM, 00063 RANDOM_NORMAL, 00064 NANS}; 00065 00071 template<typename T, typename ST> 00072 class TensorBase 00073 { 00074 public: 00075 00079 typedef T value_type; 00080 00084 typedef ST storage_type; 00085 00089 TensorBase(); 00090 00095 explicit 00096 TensorBase(Index const dimension, Index const order); 00097 00103 TensorBase(Index const dimension, Index const order, 00104 ComponentValue const value); 00105 00111 TensorBase(Index const dimension, Index const order, T const & s); 00112 00118 TensorBase(Index const dimension, Index const order, T const * data_ptr); 00119 00124 TensorBase(TensorBase<T, ST> const & X); 00125 00130 TensorBase<T, ST> & 00131 operator=(TensorBase<T, ST> const & X); 00132 00136 virtual 00137 ~TensorBase() = 0; 00138 00143 T const & 00144 operator[](Index const i) const; 00145 00150 T & 00151 operator[](Index const i); 00152 00156 Index 00157 get_number_components() const; 00158 00163 void 00164 fill(ComponentValue const value); 00165 00170 void 00171 fill(T const & s); 00172 00177 void 00178 fill(T const * data_ptr); 00179 00184 template<typename S, typename SS> 00185 TensorBase<T, ST> & 00186 operator+=(TensorBase<S, SS> const & X); 00187 00192 template<typename S, typename SS> 00193 TensorBase<T, ST> & 00194 operator-=(TensorBase<S, SS> const & X); 00195 00200 template<typename S> 00201 TensorBase<T, ST> & 00202 operator*=(S const & X); 00203 00208 template<typename S> 00209 TensorBase<T, ST> & 00210 operator/=(S const & X); 00211 00215 void 00216 clear(); 00217 00218 protected: 00219 00223 void 00224 set_number_components(Index const number_components); 00225 00229 Index 00230 get_dimension() const; 00231 00236 void 00237 set_dimension(Index const dimension, Index const order); 00238 00242 ST 00243 components_; 00244 00248 Index 00249 dimension_; 00250 00251 }; 00252 00256 template<typename T, typename ST> 00257 T 00258 norm_f(TensorBase<T, ST> const & X); 00259 00263 template<typename T, typename ST> 00264 T 00265 norm_f_square(TensorBase<T, ST> const & X); 00266 00270 template<typename R, typename S, typename T, typename SR, typename SS, 00271 typename ST> 00272 void 00273 add( 00274 TensorBase<R, SR> const & A, 00275 TensorBase<S, SS> const & B, 00276 TensorBase<T, ST> & C); 00277 00281 template<typename R, typename S, typename T, typename SR, typename SS, 00282 typename ST> 00283 void 00284 subtract( 00285 TensorBase<R, SR> const & A, 00286 TensorBase<S, SS> const & B, 00287 TensorBase<T, ST> & C); 00288 00292 template<typename T, typename ST> 00293 void 00294 minus(TensorBase<T, ST> const & A, TensorBase<T, ST> & B); 00295 00299 template<typename T, typename ST> 00300 bool 00301 equal(TensorBase<T, ST> const & A, TensorBase<T, ST> const & B); 00302 00306 template<typename T, typename ST> 00307 bool 00308 not_equal(TensorBase<T, ST> const & A, TensorBase<T, ST> const & B); 00309 00313 template<typename R, typename S, typename T, typename SR, typename ST> 00314 void 00315 scale(TensorBase<R, SR> const & A, S const & s, TensorBase<T, ST> & B); 00316 00320 template<typename R, typename S, typename T, typename SR, typename ST> 00321 void 00322 divide(TensorBase<R, SR> const & A, S const & s, TensorBase<T, ST> & B); 00323 00327 template<typename R, typename S, typename T, typename SR, typename ST> 00328 void 00329 split(TensorBase<R, SR> const & A, S const & s, TensorBase<T, ST> & B); 00330 00331 } // namespace Intrepid 00332 00333 #include "Intrepid_MiniTensor_TensorBase.i.h" 00334 #include "Intrepid_MiniTensor_TensorBase.t.h" 00335 00336 #endif //Intrepid_MiniTensor_TensorBase_h
1.7.6.1