Dune Core Modules (2.9.0)

spqr.hh
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1 // SPDX-FileCopyrightText: Copyright (C) DUNE Project contributors, see file LICENSE.md in module root
2 // SPDX-License-Identifier: LicenseRef-GPL-2.0-only-with-DUNE-exception
3 // -*- tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 2 -*-
4 // vi: set et ts=4 sw=2 sts=2:
5 #ifndef DUNE_ISTL_SPQR_HH
6 #define DUNE_ISTL_SPQR_HH
7 
8 #if HAVE_SUITESPARSE_SPQR || defined DOXYGEN
9 
10 #include <complex>
11 #include <type_traits>
12 
13 #include <SuiteSparseQR.hpp>
14 
16 
17 #include <dune/istl/bccsmatrixinitializer.hh>
18 #include <dune/istl/solvers.hh>
19 #include <dune/istl/solvertype.hh>
20 #include <dune/istl/solverfactory.hh>
21 
22 namespace Dune {
34  // forward declarations
35  template<class M, class T, class TM, class TD, class TA>
36  class SeqOverlappingSchwarz;
37 
38  template<class T, bool tag>
39  struct SeqOverlappingSchwarzAssemblerHelper;
40 
46  template<class Matrix>
47  class SPQR
48  {};
49 
63  template<typename T, typename A, int n, int m>
64  class SPQR<BCRSMatrix<FieldMatrix<T,n,m>,A > >
65  : public InverseOperator<BlockVector<FieldVector<T,m>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,m> > >,
66  BlockVector<FieldVector<T,n>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,n> > > >
67  {
68  public:
73  typedef ISTL::Impl::BCCSMatrix<T,int> SPQRMatrix;
75  typedef ISTL::Impl::BCCSMatrixInitializer<BCRSMatrix<FieldMatrix<T,n,m>,A>, int> MatrixInitializer;
77  typedef Dune::BlockVector<FieldVector<T,m>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,m> > > domain_type;
79  typedef Dune::BlockVector<FieldVector<T,n>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,n> > > range_type;
80 
83  {
84  return SolverCategory::Category::sequential;
85  }
86 
95  SPQR(const Matrix& matrix, int verbose=0) : matrixIsLoaded_(false), verbose_(verbose)
96  {
97  //check whether T is a supported type
98  static_assert((std::is_same<T,double>::value) || (std::is_same<T,std::complex<double> >::value),
99  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
100  cc_ = new cholmod_common();
101  cholmod_l_start(cc_);
102  setMatrix(matrix);
103  }
104 
113  SPQR(const Matrix& matrix, int verbose, bool) : matrixIsLoaded_(false), verbose_(verbose)
114  {
115  //check whether T is a supported type
116  static_assert((std::is_same<T,double>::value) || (std::is_same<T,std::complex<double> >::value),
117  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
118  cc_ = new cholmod_common();
119  cholmod_l_start(cc_);
120  setMatrix(matrix);
121  }
122 
132  SPQR(const Matrix& matrix, const ParameterTree& config)
133  : SPQR(matrix, config.get<int>("verbose", 0))
134  {}
135 
137  SPQR() : matrixIsLoaded_(false), verbose_(0)
138  {
139  //check whether T is a supported type
140  static_assert((std::is_same<T,double>::value) || (std::is_same<T,std::complex<double> >::value),
141  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
142  cc_ = new cholmod_common();
143  cholmod_l_start(cc_);
144  }
145 
147  virtual ~SPQR()
148  {
149  if ((spqrMatrix_.N() + spqrMatrix_.M() > 0) || matrixIsLoaded_)
150  free();
151  cholmod_l_finish(cc_);
152  }
153 
156  {
157  const std::size_t numRows(spqrMatrix_.N());
158  // fill B
159  for(std::size_t k = 0; k != numRows/n; ++k)
160  for (int l = 0; l < n; ++l)
161  (static_cast<T*>(B_->x))[n*k+l] = b[k][l];
162 
163  cholmod_dense* BTemp = B_;
164  B_ = SuiteSparseQR_qmult<T>(0, spqrfactorization_, B_, cc_);
165  cholmod_dense* X = SuiteSparseQR_solve<T>(1, spqrfactorization_, B_, cc_);
166  cholmod_l_free_dense(&BTemp, cc_);
167 
168  const std::size_t numCols(spqrMatrix_.M());
169  // fill x
170  for(std::size_t k = 0; k != numCols/m; ++k)
171  for (int l = 0; l < m; ++l)
172  x[k][l] = (static_cast<T*>(X->x))[m*k+l];
173 
174  cholmod_l_free_dense(&X, cc_);
175  // this is a direct solver
176  res.iterations = 1;
177  res.converged = true;
178  if(verbose_ > 0)
179  {
180  std::cout<<std::endl<<"Solving with SuiteSparseQR"<<std::endl;
181  std::cout<<"Flops Taken: "<<cc_->SPQR_flopcount<<std::endl;
182  std::cout<<"Analysis Time: "<<cc_->SPQR_analyze_time<<" s"<<std::endl;
183  std::cout<<"Factorize Time: "<<cc_->SPQR_factorize_time<<" s"<<std::endl;
184  std::cout<<"Backsolve Time: "<<cc_->SPQR_solve_time<<" s"<<std::endl;
185  std::cout<<"Peak Memory Usage: "<<cc_->memory_usage<<" bytes"<<std::endl;
186  std::cout<<"Rank Estimate: "<<cc_->SPQR_istat[4]<<std::endl<<std::endl;
187  }
188  }
189 
191  virtual void apply (domain_type& x, range_type& b, [[maybe_unused]] double reduction, InverseOperatorResult& res)
192  {
193  apply(x, b, res);
194  }
195 
196  void setOption([[maybe_unused]] unsigned int option, [[maybe_unused]] double value)
197  {}
198 
200  void setMatrix(const Matrix& matrix)
201  {
202  if ((spqrMatrix_.N() + spqrMatrix_.M() > 0) || matrixIsLoaded_)
203  free();
204 
205  if (spqrMatrix_.N() + spqrMatrix_.M() + spqrMatrix_.nonzeroes() != 0)
206  spqrMatrix_.free();
207  spqrMatrix_.setSize(MatrixDimension<Matrix>::rowdim(matrix),
208  MatrixDimension<Matrix>::coldim(matrix));
209  ISTL::Impl::BCCSMatrixInitializer<Matrix, int> initializer(spqrMatrix_);
210 
211  copyToBCCSMatrix(initializer, matrix);
212 
213  decompose();
214  }
215 
216  template<class S>
217  void setSubMatrix(const Matrix& matrix, const S& rowIndexSet)
218  {
219  if ((spqrMatrix_.N() + spqrMatrix_.M() > 0) || matrixIsLoaded_)
220  free();
221 
222  if (spqrMatrix_.N() + spqrMatrix_.M() + spqrMatrix_.nonzeroes() != 0)
223  spqrMatrix_.free();
224 
225  spqrMatrix_.setSize(rowIndexSet.size()*MatrixDimension<Matrix>::rowdim(matrix) / matrix.N(),
226  rowIndexSet.size()*MatrixDimension<Matrix>::coldim(matrix) / matrix.M());
227  ISTL::Impl::BCCSMatrixInitializer<Matrix, int> initializer(spqrMatrix_);
228 
229  copyToBCCSMatrix(initializer, ISTL::Impl::MatrixRowSubset<Matrix,std::set<std::size_t> >(matrix,rowIndexSet));
230 
231  decompose();
232  }
233 
238  inline void setVerbosity(int v)
239  {
240  verbose_=v;
241  }
242 
247  inline SuiteSparseQR_factorization<T>* getFactorization()
248  {
249  return spqrfactorization_;
250  }
251 
257  {
258  return spqrMatrix_;
259  }
260 
265  void free()
266  {
267  cholmod_l_free_sparse(&A_, cc_);
268  cholmod_l_free_dense(&B_, cc_);
269  SuiteSparseQR_free<T>(&spqrfactorization_, cc_);
270  spqrMatrix_.free();
271  matrixIsLoaded_ = false;
272  }
273 
275  inline const char* name()
276  {
277  return "SPQR";
278  }
279 
280  private:
281  template<class M,class X, class TM, class TD, class T1>
282  friend class SeqOverlappingSchwarz;
283 
284  friend struct SeqOverlappingSchwarzAssemblerHelper<SPQR<Matrix>,true>;
285 
287  void decompose()
288  {
289  const std::size_t nrows(spqrMatrix_.N());
290  const std::size_t ncols(spqrMatrix_.M());
291  const std::size_t nnz(spqrMatrix_.getColStart()[ncols]);
292 
293  // initialise the matrix A (sorted, packed, unsymmetric, real entries)
294  A_ = cholmod_l_allocate_sparse(nrows, ncols, nnz, 1, 1, 0, 1, cc_);
295 
296  // copy all the entries of Ap, Ai, Ax
297  for(std::size_t k = 0; k != (ncols+1); ++k)
298  (static_cast<long int *>(A_->p))[k] = spqrMatrix_.getColStart()[k];
299 
300  for(std::size_t k = 0; k != nnz; ++k)
301  {
302  (static_cast<long int*>(A_->i))[k] = spqrMatrix_.getRowIndex()[k];
303  (static_cast<T*>(A_->x))[k] = spqrMatrix_.getValues()[k];
304  }
305 
306  // initialise the vector B
307  B_ = cholmod_l_allocate_dense(nrows, 1, nrows, A_->xtype, cc_);
308  // compute factorization of A
309  spqrfactorization_=SuiteSparseQR_factorize<T>(SPQR_ORDERING_DEFAULT,SPQR_DEFAULT_TOL,A_,cc_);
310  }
311 
312  SPQRMatrix spqrMatrix_;
313  bool matrixIsLoaded_;
314  int verbose_;
315  cholmod_common* cc_;
316  cholmod_sparse* A_;
317  cholmod_dense* B_;
318  SuiteSparseQR_factorization<T>* spqrfactorization_;
319  };
320 
321  template<typename T, typename A>
322  struct IsDirectSolver<SPQR<BCRSMatrix<T,A> > >
323  {
324  enum {value = true};
325  };
326 
327  template<typename T, typename A>
328  struct StoresColumnCompressed<SPQR<BCRSMatrix<T,A> > >
329  {
330  enum {value = true};
331  };
332 
333  struct SPQRCreator {
334  template<class> struct isValidBlock : std::false_type{};
335 
336  template<typename TL, typename M>
337  std::shared_ptr<Dune::InverseOperator<typename Dune::TypeListElement<1, TL>::type,
338  typename Dune::TypeListElement<2, TL>::type>>
339  operator() (TL /*tl*/, const M& mat, const Dune::ParameterTree& config,
340  std::enable_if_t<
341  isValidBlock<typename Dune::TypeListElement<1, TL>::type::block_type>::value,int> = 0) const
342  {
343  int verbose = config.get("verbose", 0);
344  return std::make_shared<Dune::SPQR<M>>(mat,verbose);
345  }
346 
347  // second version with SFINAE to validate the template parameters of SPQR
348  template<typename TL, typename M>
349  std::shared_ptr<Dune::InverseOperator<typename Dune::TypeListElement<1, TL>::type,
350  typename Dune::TypeListElement<2, TL>::type>>
351  operator() (TL /*tl*/, const M& /*mat*/, const Dune::ParameterTree& /*config*/,
352  std::enable_if_t<!isValidBlock<typename Dune::TypeListElement<1, TL>::type::block_type>::value,int> = 0) const
353  {
354  DUNE_THROW(UnsupportedType,
355  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
356  }
357  };
358  template<> struct SPQRCreator::isValidBlock<FieldVector<double,1>> : std::true_type{};
359  // std::complex is temporary disabled, because it fails if libc++ is used
360  //template<> struct SPQRCreator::isValidMatrixBlock<FieldMatrix<std::complex<double>,1,1>> : std::true_type{};
361  DUNE_REGISTER_DIRECT_SOLVER("spqr", Dune::SPQRCreator());
362 
363 } // end namespace Dune
364 
365 
366 #endif //HAVE_SUITESPARSE_SPQR
367 #endif //DUNE_ISTL_SPQR_HH
A sparse block matrix with compressed row storage.
Definition: bcrsmatrix.hh:466
A vector of blocks with memory management.
Definition: bvector.hh:395
A dense n x m matrix.
Definition: fmatrix.hh:117
Abstract base class for all solvers.
Definition: solver.hh:99
A generic dynamic dense matrix.
Definition: matrix.hh:561
size_type M() const
Return the number of columns.
Definition: matrix.hh:700
size_type N() const
Return the number of rows.
Definition: matrix.hh:695
Hierarchical structure of string parameters.
Definition: parametertree.hh:37
std::string get(const std::string &key, const std::string &defaultValue) const
get value as string
Definition: parametertree.cc:185
Use the SPQR package to directly solve linear systems – empty default class.
Definition: spqr.hh:48
Sequential overlapping Schwarz preconditioner.
Definition: overlappingschwarz.hh:755
A few common exception classes.
#define DUNE_THROW(E, m)
Definition: exceptions.hh:218
virtual ~SPQR()
Destructor.
Definition: spqr.hh:147
SPQRMatrix & getInternalMatrix()
Return the column coppressed matrix.
Definition: spqr.hh:256
const char * name()
Get method name.
Definition: spqr.hh:275
SPQR(const Matrix &matrix, int verbose, bool)
Constructor for compatibility with SuperLU standard constructor.
Definition: spqr.hh:113
virtual SolverCategory::Category category() const
Category of the solver (see SolverCategory::Category)
Definition: spqr.hh:82
void setMatrix(const Matrix &matrix)
Initialize data from given matrix.
Definition: spqr.hh:200
SuiteSparseQR_factorization< T > * getFactorization()
Return the matrix factorization.
Definition: spqr.hh:247
ISTL::Impl::BCCSMatrixInitializer< BCRSMatrix< FieldMatrix< T, n, m >, A >, int > MatrixInitializer
Type of an associated initializer class.
Definition: spqr.hh:75
SPQR()
Default constructor.
Definition: spqr.hh:137
void setVerbosity(int v)
Sets the verbosity level for the solver.
Definition: spqr.hh:238
ISTL::Impl::BCCSMatrix< T, int > SPQRMatrix
The corresponding SuperLU Matrix type.
Definition: spqr.hh:73
void free()
Free allocated space.
Definition: spqr.hh:265
SPQR(const Matrix &matrix, const ParameterTree &config)
Constructs the SPQR solver.
Definition: spqr.hh:132
Dune::BlockVector< FieldVector< T, n >, typename std::allocator_traits< A >::template rebind_alloc< FieldVector< T, n > > > range_type
The type of the range of the solver.
Definition: spqr.hh:79
virtual void apply(domain_type &x, range_type &b, [[maybe_unused]] double reduction, InverseOperatorResult &res)
apply inverse operator, with given convergence criteria.
Definition: spqr.hh:191
Dune::BlockVector< FieldVector< T, m >, typename std::allocator_traits< A >::template rebind_alloc< FieldVector< T, m > > > domain_type
The type of the domain of the solver.
Definition: spqr.hh:77
virtual void apply(domain_type &x, range_type &b, InverseOperatorResult &res)
Apply inverse operator,.
Definition: spqr.hh:155
SPQR(const Matrix &matrix, int verbose=0)
Construct a solver object from a BCRSMatrix.
Definition: spqr.hh:95
Dune namespace.
Definition: alignedallocator.hh:13
Implementations of the inverse operator interface.
Templates characterizing the type of a solver.
Statistics about the application of an inverse operator.
Definition: solver.hh:48
int iterations
Number of iterations.
Definition: solver.hh:67
bool converged
True if convergence criterion has been met.
Definition: solver.hh:73
Category
Definition: solvercategory.hh:23
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