16#ifndef dealii_full_matrix_h
17#define dealii_full_matrix_h
40template <
typename number>
42template <
typename number>
68template <
typename number>
76 "The FullMatrix class does not support auto-differentiable numbers.");
170 template <
typename number2>
199 template <
typename number2>
209 template <
typename MatrixType>
218 template <
typename MatrixType>
232 const unsigned int src_r_i = 0,
233 const unsigned int src_r_j = dim - 1,
234 const unsigned int src_c_i = 0,
235 const unsigned int src_c_j = dim - 1,
252 const unsigned int dst_r = 0,
253 const unsigned int dst_c = 0)
const;
267 template <
typename MatrixType,
typename index_type>
270 const std::vector<index_type> &row_index_set,
271 const std::vector<index_type> &column_index_set);
285 template <
typename MatrixType,
typename index_type>
288 const std::vector<index_type> &column_index_set,
289 MatrixType &
matrix)
const;
301 template <
typename number2>
313 template <
typename number2>
328 template <
typename number2>
331 const std::vector<size_type> &p_rows,
332 const std::vector<size_type> &p_cols);
401 template <
typename number2>
414 template <
typename number2>
476 template <
class StreamType>
479 const unsigned int width = 5,
480 const unsigned int precision = 2)
const;
506 const unsigned int precision = 3,
507 const bool scientific =
true,
508 const unsigned int width = 0,
509 const char * zero_string =
" ",
510 const double denominator = 1.,
511 const double threshold = 0.)
const;
571 template <
typename number2>
582 template <
typename number2>
597 template <
typename number2>
617 template <
typename number2>
631 template <
typename number2>
646 template <
typename number2>
670 template <
typename number2,
typename index_type>
674 const index_type *col_indices,
676 const bool elide_zero_values =
true,
677 const bool col_indices_are_sorted =
false);
735 template <
typename number2>
742 template <
typename number2>
752 template <
typename number2>
793 template <
typename number2>
805 template <
typename number2>
813 template <
typename number2>
822 template <
typename number2>
831 template <
typename number2>
857 template <
typename number2>
861 const bool adding =
false)
const;
881 template <
typename number2>
885 const bool adding =
false)
const;
905 template <
typename number2>
909 const bool adding =
false)
const;
930 template <
typename number2>
934 const bool adding =
false)
const;
950 const bool transpose_B =
false,
951 const bool transpose_D =
false,
952 const number scaling = number(1.));
966 template <
typename number2>
970 const bool adding =
false)
const;
977 template <
typename number2>
994 template <
typename number2>
998 const bool adding =
false)
const;
1006 template <
typename number2>
1015 template <
typename somenumber>
1019 const number omega = 1.)
const;
1027 template <
typename number2,
typename number3>
1043 template <
typename number2>
1054 template <
typename number2>
1076 <<
"The maximal pivot is " << arg1
1077 <<
", which is below the threshold. The matrix may be singular.");
1085 <<
"Target region not in matrix: size in this direction="
1086 << arg1 <<
", size of new matrix=" << arg2
1087 <<
", offset=" << arg3);
1092 "You are attempting an operation on two matrices that "
1093 "are the same object, but the operation requires that the "
1094 "two objects are in fact different.");
1109template <
typename number>
1113 return this->n_rows();
1118template <
typename number>
1122 return this->n_cols();
1127template <
typename number>
1134 if (this->n_elements() != 0)
1135 this->reset_values();
1142template <
typename number>
1143template <
typename number2>
1152template <
typename number>
1153template <
typename MatrixType>
1157 this->
reinit(M.m(), M.n());
1162 for (
size_type row = 0; row < M.m(); ++row)
1164 const typename MatrixType::const_iterator end_row = M.end(row);
1165 for (
typename MatrixType::const_iterator entry = M.begin(row);
1168 this->el(row, entry->column()) = entry->value();
1174template <
typename number>
1175template <
typename MatrixType>
1179 this->
reinit(M.n(), M.m());
1184 for (
size_type row = 0; row < M.m(); ++row)
1186 const typename MatrixType::const_iterator end_row = M.end(row);
1187 for (
typename MatrixType::const_iterator entry = M.begin(row);
1190 this->el(entry->column(), row) = entry->value();
1196template <
typename number>
1197template <
typename MatrixType,
typename index_type>
1200 const MatrixType &
matrix,
1201 const std::vector<index_type> &row_index_set,
1202 const std::vector<index_type> &column_index_set)
1207 const size_type n_rows_submatrix = row_index_set.size();
1208 const size_type n_cols_submatrix = column_index_set.size();
1210 for (
size_type sub_row = 0; sub_row < n_rows_submatrix; ++sub_row)
1211 for (
size_type sub_col = 0; sub_col < n_cols_submatrix; ++sub_col)
1212 (*
this)(sub_row, sub_col) =
1213 matrix.el(row_index_set[sub_row], column_index_set[sub_col]);
1218template <
typename number>
1219template <
typename MatrixType,
typename index_type>
1222 const std::vector<index_type> &row_index_set,
1223 const std::vector<index_type> &column_index_set,
1224 MatrixType &
matrix)
const
1229 const size_type n_rows_submatrix = row_index_set.size();
1230 const size_type n_cols_submatrix = column_index_set.size();
1232 for (
size_type sub_row = 0; sub_row < n_rows_submatrix; ++sub_row)
1233 for (
size_type sub_col = 0; sub_col < n_cols_submatrix; ++sub_col)
1234 matrix.set(row_index_set[sub_row],
1235 column_index_set[sub_col],
1236 (*
this)(sub_row, sub_col));
1240template <
typename number>
1246 (*this)(i, j) = value;
1251template <
typename number>
1252template <
typename number2>
1261template <
typename number>
1262template <
typename number2>
1272template <
typename number>
1282template <
typename number>
1292template <
typename number>
1302template <
typename number>
1312template <
typename number>
1319 this->operator()(r, c) += v;
1324template <
typename number>
1325template <
typename number2,
typename index_type>
1329 const index_type *col_indices,
1335 for (
size_type col = 0; col < n_cols; ++col)
1338 this->operator()(row, col_indices[col]) +=
values[col];
1343template <
typename number>
1344template <
class StreamType>
1347 const unsigned int w,
1348 const unsigned int p)
const
1353 const std::streamsize old_precision = s.precision(p);
1354 const std::streamsize old_width = s.width(
w);
1362 s << this->el(i, j);
1368 s.precision(old_precision);
typename numbers::NumberTraits< number >::real_type real_type
typename Table< 2, number >::const_iterator const_iterator
void triple_product(const FullMatrix< number > &A, const FullMatrix< number > &B, const FullMatrix< number > &D, const bool transpose_B=false, const bool transpose_D=false, const number scaling=number(1.))
FullMatrix< number > & operator=(const number d)
void TmTmult(FullMatrix< number2 > &C, const FullMatrix< number2 > &B, const bool adding=false) const
FullMatrix(const size_type rows, const size_type cols)
number residual(Vector< number2 > &dst, const Vector< number2 > &x, const Vector< number3 > &b) const
std::size_t memory_consumption() const
void diagadd(const number s)
void fill_permutation(const FullMatrix< number2 > &src, const std::vector< size_type > &p_rows, const std::vector< size_type > &p_cols)
void add_row(const size_type i, const number s, const size_type j)
void mmult(FullMatrix< number2 > &C, const FullMatrix< number2 > &B, const bool adding=false) const
real_type relative_symmetry_norm2() const
void add(const size_type row, const size_type column, const number value)
void copy_from(const Tensor< 2, dim > &T, const unsigned int src_r_i=0, const unsigned int src_r_j=dim - 1, const unsigned int src_c_i=0, const unsigned int src_c_j=dim - 1, const size_type dst_r=0, const size_type dst_c=0)
void equ(const number a, const FullMatrix< number2 > &A, const number b, const FullMatrix< number2 > &B)
void right_invert(const FullMatrix< number2 > &M)
FullMatrix< number > & operator=(const FullMatrix< number2 > &)
FullMatrix & operator/=(const number factor)
void set(const size_type i, const size_type j, const number value)
void add_row(const size_type i, const number s, const size_type j, const number t, const size_type k)
FullMatrix< number > & operator=(const IdentityMatrix &id)
typename Table< 2, number >::iterator iterator
void add(const number a, const FullMatrix< number2 > &A, const number b, const FullMatrix< number2 > &B, const number c, const FullMatrix< number2 > &C)
void Tadd(const number s, const FullMatrix< number2 > &B)
void vmult(Vector< number2 > &w, const Vector< number2 > &v, const bool adding=false) const
void add_col(const size_type i, const number s, const size_type j, const number t, const size_type k)
void scatter_matrix_to(const std::vector< index_type > &row_index_set, const std::vector< index_type > &column_index_set, MatrixType &matrix) const
void swap_row(const size_type i, const size_type j)
void add(const FullMatrix< number2 > &src, const number factor, const size_type dst_offset_i=0, const size_type dst_offset_j=0, const size_type src_offset_i=0, const size_type src_offset_j=0)
void copy_to(Tensor< 2, dim > &T, const size_type src_r_i=0, const size_type src_r_j=dim - 1, const size_type src_c_i=0, const size_type src_c_j=dim - 1, const unsigned int dst_r=0, const unsigned int dst_c=0) const
number2 matrix_norm_square(const Vector< number2 > &v) const
void equ(const number a, const FullMatrix< number2 > &A)
const_iterator end(const size_type r) const
FullMatrix(const size_type rows, const size_type cols, const number *entries)
bool operator==(const FullMatrix< number > &) const
void Tvmult(Vector< number2 > &w, const Vector< number2 > &v, const bool adding=false) const
void Tmmult(FullMatrix< number2 > &C, const FullMatrix< number2 > &B, const bool adding=false) const
number2 matrix_scalar_product(const Vector< number2 > &u, const Vector< number2 > &v) const
void add(const size_type row, const size_type n_cols, const index_type *col_indices, const number2 *values, const bool elide_zero_values=true, const bool col_indices_are_sorted=false)
void add_col(const size_type i, const number s, const size_type j)
void precondition_Jacobi(Vector< somenumber > &dst, const Vector< somenumber > &src, const number omega=1.) const
FullMatrix(const IdentityMatrix &id)
void vmult_add(Vector< number2 > &w, const Vector< number2 > &v) const
void invert(const FullMatrix< number2 > &M)
void cholesky(const FullMatrix< number2 > &A)
void fill(const FullMatrix< number2 > &src, const size_type dst_offset_i=0, const size_type dst_offset_j=0, const size_type src_offset_i=0, const size_type src_offset_j=0)
void add(const number a, const FullMatrix< number2 > &A)
number determinant() const
void equ(const number a, const FullMatrix< number2 > &A, const number b, const FullMatrix< number2 > &B, const number c, const FullMatrix< number2 > &C)
void fill(const number2 *)
void copy_transposed(const MatrixType &)
void print(StreamType &s, const unsigned int width=5, const unsigned int precision=2) const
FullMatrix< number > & operator=(const LAPACKFullMatrix< number2 > &)
void print_formatted(std::ostream &out, const unsigned int precision=3, const bool scientific=true, const unsigned int width=0, const char *zero_string=" ", const double denominator=1., const double threshold=0.) const
FullMatrix & operator*=(const number factor)
void Tvmult_add(Vector< number2 > &w, const Vector< number2 > &v) const
void mTmult(FullMatrix< number2 > &C, const FullMatrix< number2 > &B, const bool adding=false) const
void left_invert(const FullMatrix< number2 > &M)
iterator begin(const size_type r)
iterator end(const size_type r)
void add(const number a, const FullMatrix< number2 > &A, const number b, const FullMatrix< number2 > &B)
void outer_product(const Vector< number2 > &V, const Vector< number2 > &W)
real_type frobenius_norm() const
void forward(Vector< number2 > &dst, const Vector< number2 > &src) const
void Tadd(const FullMatrix< number2 > &src, const number factor, const size_type dst_offset_i=0, const size_type dst_offset_j=0, const size_type src_offset_i=0, const size_type src_offset_j=0)
FullMatrix(const size_type n=0)
void swap_col(const size_type i, const size_type j)
void extract_submatrix_from(const MatrixType &matrix, const std::vector< index_type > &row_index_set, const std::vector< index_type > &column_index_set)
void backward(Vector< number2 > &dst, const Vector< number2 > &src) const
void copy_from(const MatrixType &)
const_iterator begin(const size_type r) const
real_type l1_norm() const
real_type linfty_norm() const
#define DEAL_II_NAMESPACE_OPEN
#define DEAL_II_NAMESPACE_CLOSE
#define DeclException0(Exception0)
static ::ExceptionBase & ExcEmptyMatrix()
static ::ExceptionBase & ExcScalarAssignmentOnlyForZeroValue()
#define Assert(cond, exc)
#define AssertDimension(dim1, dim2)
static ::ExceptionBase & ExcNotRegular(number arg1)
#define AssertIndexRange(index, range)
#define DeclExceptionMsg(Exception, defaulttext)
static ::ExceptionBase & ExcMatrixNotPositiveDefinite()
static ::ExceptionBase & ExcSourceEqualsDestination()
#define DeclException3(Exception3, type1, type2, type3, outsequence)
static ::ExceptionBase & ExcInvalidDestination(size_type arg1, size_type arg2, size_type arg3)
#define DeclException1(Exception1, type1, outsequence)
@ matrix
Contents is actually a matrix.
types::global_dof_index size_type
SymmetricTensor< 2, dim, Number > C(const Tensor< 2, dim, Number > &F)
Tensor< 2, dim, Number > w(const Tensor< 2, dim, Number > &F, const Tensor< 2, dim, Number > &dF_dt)
SymmetricTensor< 2, dim, Number > b(const Tensor< 2, dim, Number > &F)
SymmetricTensor< 2, dim, Number > d(const Tensor< 2, dim, Number > &F, const Tensor< 2, dim, Number > &dF_dt)
void reinit(MatrixBlock< MatrixType > &v, const BlockSparsityPattern &p)