Intrepid
/usr/src/RPM/BUILD/trilinos-11.12.1/packages/intrepid/src/Shared/MiniTensor/Intrepid_MiniTensor_Tensor.t.h
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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
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00036 //
00037 // Questions: Alejandro Mota (amota@sandia.gov)
00038 //
00039 // ************************************************************************
00040 // @HEADER
00041 
00042 #if !defined(Intrepid_MiniTensor_Tensor_t_h)
00043 #define Intrepid_MiniTensor_Tensor_t_h
00044 
00045 namespace Intrepid {
00046 
00047 //
00048 // R^N tensor input
00049 // \param A tensor
00050 // \param is input stream
00051 // \return is input stream
00052 //
00053 template<typename T, Index N>
00054 std::istream &
00055 operator>>(std::istream & is, Tensor<T, N> & A)
00056 {
00057 
00058   Index const
00059   dimension = A.get_dimension();
00060 
00061   for (Index i = 0; i < dimension; ++i) {
00062     for (Index j = 0; j < dimension; ++j) {
00063       is >> A(i,j);
00064     }
00065   }
00066 
00067   return is;
00068 }
00069 
00070 //
00071 // R^N tensor output
00072 // \param A tensor
00073 // \param os output stream
00074 // \return os output stream
00075 //
00076 template<typename T, Index N>
00077 std::ostream &
00078 operator<<(std::ostream & os, Tensor<T, N> const & A)
00079 {
00080   Index const
00081   dimension = A.get_dimension();
00082 
00083   if (dimension == 0) {
00084     return os;
00085   }
00086 
00087   for (Index i = 0; i < dimension; ++i) {
00088 
00089     os << std::scientific << std::setprecision(16) << A(i,0);
00090 
00091     for (Index j = 1; j < dimension; ++j) {
00092       os << "," << std::scientific  << std::setprecision(16) << A(i,j);
00093     }
00094 
00095     os << std::endl;
00096   }
00097 
00098   return os;
00099 }
00100 
00101 } // namespace Intrepid
00102 
00103 #endif // Intrepid_MiniTensor_Tensor_t_h