Dune Core Modules (2.7.1)

spqr.hh
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1 // -*- tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 2 -*-
2 // vi: set et ts=4 sw=2 sts=2:
3 #ifndef DUNE_ISTL_SPQR_HH
4 #define DUNE_ISTL_SPQR_HH
5 
6 #if HAVE_SUITESPARSE_SPQR || defined DOXYGEN
7 
8 #include <complex>
9 #include <type_traits>
10 
11 #include <SuiteSparseQR.hpp>
12 
14 #include <dune/common/unused.hh>
15 
16 #include <dune/istl/colcompmatrix.hh>
17 #include <dune/istl/solvers.hh>
18 #include <dune/istl/solvertype.hh>
19 #include <dune/istl/solverfactory.hh>
20 
21 namespace Dune {
33  // forward declarations
34  template<class M, class T, class TM, class TD, class TA>
35  class SeqOverlappingSchwarz;
36 
37  template<class T, bool tag>
38  struct SeqOverlappingSchwarzAssemblerHelper;
39 
45  template<class Matrix>
46  class SPQR
47  {};
48 
62  template<typename T, typename A, int n, int m>
63  class SPQR<BCRSMatrix<FieldMatrix<T,n,m>,A > >
64  : public InverseOperator<BlockVector<FieldVector<T,m>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,m> > >,
65  BlockVector<FieldVector<T,n>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,n> > > >
66  {
67  public:
76  typedef Dune::BlockVector<FieldVector<T,m>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,m> > > domain_type;
78  typedef Dune::BlockVector<FieldVector<T,n>, typename std::allocator_traits<A>::template rebind_alloc<FieldVector<T,n> > > range_type;
79 
82  {
83  return SolverCategory::Category::sequential;
84  }
85 
94  SPQR(const Matrix& matrix, int verbose=0) : matrixIsLoaded_(false), verbose_(verbose)
95  {
96  //check whether T is a supported type
97  static_assert((std::is_same<T,double>::value) || (std::is_same<T,std::complex<double> >::value),
98  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
99  cc_ = new cholmod_common();
100  cholmod_l_start(cc_);
101  setMatrix(matrix);
102  }
103 
112  SPQR(const Matrix& matrix, int verbose, bool) : matrixIsLoaded_(false), verbose_(verbose)
113  {
114  //check whether T is a supported type
115  static_assert((std::is_same<T,double>::value) || (std::is_same<T,std::complex<double> >::value),
116  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
117  cc_ = new cholmod_common();
118  cholmod_l_start(cc_);
119  setMatrix(matrix);
120  }
121 
123  SPQR() : matrixIsLoaded_(false), verbose_(0)
124  {
125  //check whether T is a supported type
126  static_assert((std::is_same<T,double>::value) || (std::is_same<T,std::complex<double> >::value),
127  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
128  cc_ = new cholmod_common();
129  cholmod_l_start(cc_);
130  }
131 
133  virtual ~SPQR()
134  {
135  if ((spqrMatrix_.N() + spqrMatrix_.M() > 0) || matrixIsLoaded_)
136  free();
137  cholmod_l_finish(cc_);
138  }
139 
142  {
143  const std::size_t dimMat(spqrMatrix_.N());
144  // fill B
145  for(std::size_t k = 0; k != dimMat; ++k)
146  (static_cast<T*>(B_->x))[k] = b[k];
147  cholmod_dense* BTemp = B_;
148  B_ = SuiteSparseQR_qmult<T>(0, spqrfactorization_, B_, cc_);
149  cholmod_dense* X = SuiteSparseQR_solve<T>(1, spqrfactorization_, B_, cc_);
150  cholmod_l_free_dense(&BTemp, cc_);
151  // fill x
152  for(std::size_t k = 0; k != dimMat; ++k)
153  x [k] = (static_cast<T*>(X->x))[k];
154  cholmod_l_free_dense(&X, cc_);
155  // this is a direct solver
156  res.iterations = 1;
157  res.converged = true;
158  if(verbose_ > 0)
159  {
160  std::cout<<std::endl<<"Solving with SuiteSparseQR"<<std::endl;
161  std::cout<<"Flops Taken: "<<cc_->SPQR_flopcount<<std::endl;
162  std::cout<<"Analysis Time: "<<cc_->SPQR_analyze_time<<" s"<<std::endl;
163  std::cout<<"Factorize Time: "<<cc_->SPQR_factorize_time<<" s"<<std::endl;
164  std::cout<<"Backsolve Time: "<<cc_->SPQR_solve_time<<" s"<<std::endl;
165  std::cout<<"Peak Memory Usage: "<<cc_->memory_usage<<" bytes"<<std::endl;
166  std::cout<<"Rank Estimate: "<<cc_->SPQR_istat[4]<<std::endl<<std::endl;
167  }
168  }
169 
171  virtual void apply (domain_type& x, range_type& b, double reduction, InverseOperatorResult& res)
172  {
173  DUNE_UNUSED_PARAMETER(reduction);
174  apply(x, b, res);
175  }
176 
177  void setOption(unsigned int option, double value)
178  {
179  DUNE_UNUSED_PARAMETER(option);
180  DUNE_UNUSED_PARAMETER(value);
181  }
182 
184  void setMatrix(const Matrix& matrix)
185  {
186  if ((spqrMatrix_.N() + spqrMatrix_.M() > 0) || matrixIsLoaded_)
187  free();
188  spqrMatrix_ = matrix;
189  decompose();
190  }
191 
192  template<class S>
193  void setSubMatrix(const Matrix& matrix, const S& rowIndexSet)
194  {
195  if ((spqrMatrix_.N() + spqrMatrix_.M() > 0) || matrixIsLoaded_)
196  free();
197  spqrMatrix_.setMatrix(matrix,rowIndexSet);
198  decompose();
199  }
200 
205  inline void setVerbosity(int v)
206  {
207  verbose_=v;
208  }
209 
214  inline SuiteSparseQR_factorization<T>* getFactorization()
215  {
216  return spqrfactorization_;
217  }
218 
224  {
225  return spqrMatrix_;
226  }
227 
232  void free()
233  {
234  cholmod_l_free_sparse(&A_, cc_);
235  cholmod_l_free_dense(&B_, cc_);
236  SuiteSparseQR_free<T>(&spqrfactorization_, cc_);
237  spqrMatrix_.free();
238  matrixIsLoaded_ = false;
239  }
240 
242  inline const char* name()
243  {
244  return "SPQR";
245  }
246 
247  private:
248  template<class M,class X, class TM, class TD, class T1>
249  friend class SeqOverlappingSchwarz;
250 
251  friend struct SeqOverlappingSchwarzAssemblerHelper<SPQR<Matrix>,true>;
252 
254  void decompose()
255  {
256  const std::size_t dimMat(spqrMatrix_.N());
257  const std::size_t nnz(spqrMatrix_.getColStart()[dimMat]);
258  // initialise the matrix A (sorted, packed, unsymmetric, real entries)
259  A_ = cholmod_l_allocate_sparse(dimMat, dimMat, nnz, 1, 1, 0, 1, cc_);
260  // copy all the entries of Ap, Ai, Ax
261  for(std::size_t k = 0; k != (dimMat+1); ++k)
262  (static_cast<long int *>(A_->p))[k] = spqrMatrix_.getColStart()[k];
263  for(std::size_t k = 0; k != nnz; ++k)
264  {
265  (static_cast<long int*>(A_->i))[k] = spqrMatrix_.getRowIndex()[k];
266  (static_cast<T*>(A_->x))[k] = spqrMatrix_.getValues()[k];
267  }
268  // initialise the vector B
269  B_ = cholmod_l_allocate_dense(dimMat, 1, dimMat, A_->xtype, cc_);
270  // compute factorization of A
271  spqrfactorization_=SuiteSparseQR_factorize<T>(SPQR_ORDERING_DEFAULT,SPQR_DEFAULT_TOL,A_,cc_);
272  }
273 
274  SPQRMatrix spqrMatrix_;
275  bool matrixIsLoaded_;
276  int verbose_;
277  cholmod_common* cc_;
278  cholmod_sparse* A_;
279  cholmod_dense* B_;
280  SuiteSparseQR_factorization<T>* spqrfactorization_;
281  };
282 
283  template<typename T, typename A>
284  struct IsDirectSolver<SPQR<BCRSMatrix<T,A> > >
285  {
286  enum {value = true};
287  };
288 
289  template<typename T, typename A>
290  struct StoresColumnCompressed<SPQR<BCRSMatrix<T,A> > >
291  {
292  enum {value = true};
293  };
294 
295  struct SPQRCreator {
296  template<class> struct isValidBlock : std::false_type{};
297 
298  template<typename TL, typename M>
299  std::shared_ptr<Dune::InverseOperator<typename Dune::TypeListElement<1, TL>::type,
300  typename Dune::TypeListElement<2, TL>::type>>
301  operator() (TL /*tl*/, const M& mat, const Dune::ParameterTree& config,
302  std::enable_if_t<
303  isValidBlock<typename Dune::TypeListElement<1, TL>::type::block_type>::value,int> = 0) const
304  {
305  int verbose = config.get("verbose", 0);
306  return std::make_shared<Dune::SPQR<M>>(mat,verbose);
307  }
308 
309  // second version with SFINAE to validate the template parameters of SPQR
310  template<typename TL, typename M>
311  std::shared_ptr<Dune::InverseOperator<typename Dune::TypeListElement<1, TL>::type,
312  typename Dune::TypeListElement<2, TL>::type>>
313  operator() (TL /*tl*/, const M& /*mat*/, const Dune::ParameterTree& /*config*/,
314  std::enable_if_t<!isValidBlock<typename Dune::TypeListElement<1, TL>::type::block_type>::value,int> = 0) const
315  {
316  DUNE_THROW(UnsupportedType,
317  "Unsupported Type in SPQR (only double and std::complex<double> supported)");
318  }
319  };
320  template<> struct SPQRCreator::isValidBlock<FieldVector<double,1>> : std::true_type{};
321  // std::complex is temporary disabled, because it fails if libc++ is used
322  //template<> struct SPQRCreator::isValidMatrixBlock<FieldMatrix<std::complex<double>,1,1>> : std::true_type{};
323  DUNE_REGISTER_DIRECT_SOLVER("spqr", Dune::SPQRCreator());
324 
325 } // end namespace Dune
326 
327 
328 #endif //HAVE_SUITESPARSE_SPQR
329 #endif //DUNE_ISTL_SPQR_HH
A sparse block matrix with compressed row storage.
Definition: bcrsmatrix.hh:426
A vector of blocks with memory management.
Definition: bvector.hh:403
Inititializer for the ColCompMatrix as needed by OverlappingSchwarz.
Definition: colcompmatrix.hh:255
A dense n x m matrix.
Definition: fmatrix.hh:69
Abstract base class for all solvers.
Definition: solver.hh:97
A generic dynamic dense matrix.
Definition: matrix.hh:558
Hierarchical structure of string parameters.
Definition: parametertree.hh:35
std::string get(const std::string &key, const std::string &defaultValue) const
get value as string
Definition: parametertree.cc:183
Use the SPQR package to directly solve linear systems – empty default class.
Definition: spqr.hh:47
Sequential overlapping Schwarz preconditioner.
Definition: overlappingschwarz.hh:752
A few common exception classes.
decltype(auto) apply(F &&f, ArgTuple &&args)
Apply function with arguments given as tuple.
Definition: apply.hh:46
#define DUNE_UNUSED_PARAMETER(parm)
A macro to mark intentionally unused function parameters with.
Definition: unused.hh:25
#define DUNE_THROW(E, m)
Definition: exceptions.hh:216
virtual ~SPQR()
Destructor.
Definition: spqr.hh:133
SPQRMatrix & getInternalMatrix()
Return the column coppressed matrix.
Definition: spqr.hh:223
const char * name()
Get method name.
Definition: spqr.hh:242
SPQR(const Matrix &matrix, int verbose, bool)
Constructor for compatibility with SuperLU standard constructor.
Definition: spqr.hh:112
virtual SolverCategory::Category category() const
Category of the solver (see SolverCategory::Category)
Definition: spqr.hh:81
void setMatrix(const Matrix &matrix)
Initialize data from given matrix.
Definition: spqr.hh:184
SuiteSparseQR_factorization< T > * getFactorization()
Return the matrix factorization.
Definition: spqr.hh:214
SPQR()
Default constructor.
Definition: spqr.hh:123
void setVerbosity(int v)
Sets the verbosity level for the solver.
Definition: spqr.hh:205
Dune::ColCompMatrix< Matrix > SPQRMatrix
The corresponding SuperLU Matrix type.
Definition: spqr.hh:72
virtual void apply(domain_type &x, range_type &b, double reduction, InverseOperatorResult &res)
apply inverse operator, with given convergence criteria.
Definition: spqr.hh:171
void free()
Free allocated space.
Definition: spqr.hh:232
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:78
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:76
virtual void apply(domain_type &x, range_type &b, InverseOperatorResult &res)
Apply inverse operator,.
Definition: spqr.hh:141
SPQR(const Matrix &matrix, int verbose=0)
Construct a solver object from a BCRSMatrix.
Definition: spqr.hh:94
Dune namespace.
Definition: alignedallocator.hh:14
Implementations of the inverse operator interface.
Templates characterizing the type of a solver.
Statistics about the application of an inverse operator.
Definition: solver.hh:46
int iterations
Number of iterations.
Definition: solver.hh:65
bool converged
True if convergence criterion has been met.
Definition: solver.hh:71
Category
Definition: solvercategory.hh:21
Definition of the DUNE_UNUSED macro for the case that config.h is not available.
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