/usr/include/dolfin/la/GenericMatrix.h is in libdolfin1.0-dev 1.0.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 | // Copyright (C) 2006-2011 Garth N. Wells
//
// This file is part of DOLFIN.
//
// DOLFIN is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// DOLFIN is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with DOLFIN. If not, see <http://www.gnu.org/licenses/>.
//
// Modified by Johan Jansson 2006.
// Modified by Anders Logg 2006-2011
// Modified by Ola Skavhaug 2007-2008
// Modified by Kent-Andre Mardal 2008
// Modified by Martin Alnæs 2008
//
// First added: 2006-04-24
// Last changed: 2011-02-05
#ifndef __GENERIC_MATRIX_H
#define __GENERIC_MATRIX_H
#include <boost/tuple/tuple.hpp>
#include <vector>
#include "GenericTensor.h"
namespace dolfin
{
class GenericVector;
/// This class defines a common interface for matrices.
class GenericMatrix : public GenericTensor
{
public:
/// Destructor
virtual ~GenericMatrix() {}
//--- Implementation of the GenericTensor interface ---
/// Initialize zero tensor using sparsity pattern
virtual void init(const GenericSparsityPattern& sparsity_pattern) = 0;
/// Return copy of tensor
virtual GenericMatrix* copy() const = 0;
/// Return tensor rank (number of dimensions)
virtual uint rank() const
{ return 2; }
/// Return size of given dimension
virtual uint size(uint dim) const = 0;
/// Return local ownership range
virtual std::pair<uint, uint> local_range(uint dim) const = 0;
/// Get block of values
virtual void get(double* block, const uint* num_rows,
const uint * const * rows) const
{ get(block, num_rows[0], rows[0], num_rows[1], rows[1]); }
/// Set block of values
virtual void set(const double* block, const uint* num_rows,
const uint * const * rows)
{ set(block, num_rows[0], rows[0], num_rows[1], rows[1]); }
/// Add block of values
virtual void add(const double* block, const uint* num_rows,
const uint * const * rows)
{ add(block, num_rows[0], rows[0], num_rows[1], rows[1]); }
/// Add block of values
virtual void add(const double* block, const std::vector<const std::vector<uint>* >& rows)
{ add(block, (rows[0])->size(), &(*rows[0])[0], (rows[1])->size(), &(*rows[1])[0]); }
/// Add block of values
virtual void add(const double* block, const std::vector<std::vector<uint> >& rows)
{ add(block, rows[0].size(), &(rows[0])[0], rows[1].size(), &(rows[1])[0]); }
/// Set all entries to zero and keep any sparse structure
virtual void zero() = 0;
/// Finalize assembly of tensor
virtual void apply(std::string mode) = 0;
/// Return informal string representation (pretty-print)
virtual std::string str(bool verbose) const = 0;
//--- Matrix interface ---
/// Resize vector y such that is it compatible with matrix for
/// multuplication Ax = b (dim = 0 -> b, dim = 1 -> x). In parallel
/// case, size and layout are important.
virtual void resize(GenericVector& y, uint dim) const = 0;
/// Get block of values
virtual void get(double* block, uint m, const uint* rows, uint n,
const uint* cols) const = 0;
/// Set block of values
virtual void set(const double* block, uint m, const uint* rows, uint n,
const uint* cols) = 0;
/// Add block of values
virtual void add(const double* block, uint m, const uint* rows, uint n,
const uint* cols) = 0;
/// Add multiple of given matrix (AXPY operation)
virtual void axpy(double a, const GenericMatrix& A,
bool same_nonzero_pattern) = 0;
/// Return norm of matrix
virtual double norm(std::string norm_type) const = 0;
/// Get non-zero values of given row on local process
virtual void getrow(uint row, std::vector<uint>& columns,
std::vector<double>& values) const = 0;
/// Set values for given row on local process
virtual void setrow(uint row, const std::vector<uint>& columns,
const std::vector<double>& values) = 0;
/// Set given rows to zero
virtual void zero(uint m, const uint* rows) = 0;
/// Set given rows to identity matrix
virtual void ident(uint m, const uint* rows) = 0;
/// Matrix-vector product, y = Ax
virtual void mult(const GenericVector& x, GenericVector& y) const = 0;
/// Matrix-vector product, y = A^T x
virtual void transpmult(const GenericVector& x, GenericVector& y) const = 0;
/// Multiply matrix by given number
virtual const GenericMatrix& operator*= (double a) = 0;
/// Divide matrix by given number
virtual const GenericMatrix& operator/= (double a) = 0;
/// Add given matrix
const GenericMatrix& operator+= (const GenericMatrix& A)
{
axpy(1.0, A, false);
return *this;
}
/// Subtract given matrix
const GenericMatrix& operator-= (const GenericMatrix& A)
{
axpy(-1.0, A, false);
return *this;
}
/// Assignment operator
virtual const GenericMatrix& operator= (const GenericMatrix& x) = 0;
/// Return pointers to underlying compresssed row/column storage data
/// For compressed row storage, data = (row_pointer[#rows +1],
/// column_index[#nz], matrix_values[#nz], nz)
virtual boost::tuples::tuple<const std::size_t*, const std::size_t*,
const double*, int> data() const
{
dolfin_error("GenericMatrix.h",
"return pointers to underlying matrix data",
"Not implemented by current linear algebra backend");
return boost::tuples::tuple<const std::size_t*, const std::size_t*,
const double*, int>(0, 0, 0, 0);
}
//--- Convenience functions ---
/// Get value of given entry
virtual double operator() (uint i, uint j) const
{ double value(0); get(&value, 1, &i, 1, &j); return value; }
/// Get value of given entry
virtual double getitem(std::pair<uint, uint> ij) const
{ double value(0); get(&value, 1, &ij.first, 1, &ij.second); return value; }
/// Set given entry to value. apply("insert") should be called before using
/// using the object.
virtual void setitem(std::pair<uint, uint> ij, double value)
{ set(&value, 1, &ij.first, 1, &ij.second); }
/// Insert one on the diagonal for all zero rows
virtual void ident_zeros();
};
}
#endif
|