Dune Core Modules (2.6.0)

novlpschwarz.hh
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_NOVLPSCHWARZ_HH
4 #define DUNE_ISTL_NOVLPSCHWARZ_HH
5 
6 #include <iostream> // for input/output to shell
7 #include <fstream> // for input/output to files
8 #include <vector> // STL vector class
9 #include <sstream>
10 
11 #include <cmath> // Yes, we do some math here
12 
13 #include <dune/common/timer.hh>
14 
15 #include "io.hh"
16 #include "bvector.hh"
17 #include "vbvector.hh"
18 #include "bcrsmatrix.hh"
19 #include "io.hh"
20 #include "gsetc.hh"
21 #include "ilu.hh"
22 #include "operators.hh"
23 #include "solvers.hh"
24 #include "preconditioners.hh"
25 #include "scalarproducts.hh"
26 #include "owneroverlapcopy.hh"
27 
28 namespace Dune {
29 
58  template<class M, class X, class Y, class C>
60  {
61  public:
63  typedef M matrix_type;
65  typedef X domain_type;
67  typedef Y range_type;
69  typedef typename X::field_type field_type;
71  typedef C communication_type;
72 
73  typedef typename C::PIS PIS;
74  typedef typename C::RI RI;
75  typedef typename RI::RemoteIndexList RIL;
76  typedef typename RI::const_iterator RIIterator;
77  typedef typename RIL::const_iterator RILIterator;
78  typedef typename M::ConstColIterator ColIterator;
79  typedef typename M::ConstRowIterator RowIterator;
80  typedef std::multimap<int,int> MM;
81  typedef std::multimap<int,std::pair<int,RILIterator> > RIMap;
82  typedef typename RIMap::iterator RIMapit;
83 
92  : _A_(A), communication(com), buildcomm(true)
93  {}
94 
96  virtual void apply (const X& x, Y& y) const
97  {
98  y = 0;
99  novlp_op_apply(x,y,1);
100  communication.addOwnerCopyToOwnerCopy(y,y);
101  }
102 
104  virtual void applyscaleadd (field_type alpha, const X& x, Y& y) const
105  {
106  // only apply communication to alpha*A*x to make it consistent,
107  // y already has to be consistent.
108  Y y1(y);
109  y = 0;
110  novlp_op_apply(x,y,alpha);
111  communication.addOwnerCopyToOwnerCopy(y,y);
112  y += y1;
113  }
114 
116  virtual const matrix_type& getmat () const
117  {
118  return _A_;
119  }
120 
121  void novlp_op_apply (const X& x, Y& y, field_type alpha) const
122  {
123  //get index sets
124  const PIS& pis=communication.indexSet();
125  const RI& ri = communication.remoteIndices();
126 
127  // at the beginning make a multimap "bordercontribution".
128  // process has i and j as border dofs but is not the owner
129  // => only contribute to Ax if i,j is in bordercontribution
130  if (buildcomm == true) {
131 
132  // set up mask vector
133  if (mask.size()!=static_cast<typename std::vector<double>::size_type>(x.size())) {
134  mask.resize(x.size());
135  for (typename std::vector<double>::size_type i=0; i<mask.size(); i++)
136  mask[i] = 1;
137  for (typename PIS::const_iterator i=pis.begin(); i!=pis.end(); ++i)
138  if (i->local().attribute()==OwnerOverlapCopyAttributeSet::copy)
139  mask[i->local().local()] = 0;
140  else if (i->local().attribute()==OwnerOverlapCopyAttributeSet::overlap)
141  mask[i->local().local()] = 2;
142  }
143 
144  for (MM::iterator iter = bordercontribution.begin();
145  iter != bordercontribution.end(); ++iter)
146  bordercontribution.erase(iter);
147  std::map<int,int> owner; //key: local index i, value: process, that owns i
148  RIMap rimap;
149 
150  // for each local index make multimap rimap:
151  // key: local index i, data: pair of process that knows i and pointer to RI entry
152  for (RowIterator i = _A_.begin(); i != _A_.end(); ++i)
153  if (mask[i.index()] == 0)
154  for (RIIterator remote = ri.begin(); remote != ri.end(); ++remote) {
155  RIL& ril = *(remote->second.first);
156  for (RILIterator rindex = ril.begin(); rindex != ril.end(); ++rindex)
157  if (rindex->attribute() != OwnerOverlapCopyAttributeSet::overlap)
158  if (rindex->localIndexPair().local().local() == i.index()) {
159  rimap.insert
160  (std::make_pair(i.index(),
161  std::pair<int,RILIterator>(remote->first, rindex)));
162  if(rindex->attribute()==OwnerOverlapCopyAttributeSet::owner)
163  owner.insert(std::make_pair(i.index(),remote->first));
164  }
165  }
166 
167  int iowner = 0;
168  for (RowIterator i = _A_.begin(); i != _A_.end(); ++i) {
169  if (mask[i.index()] == 0) {
170  std::map<int,int>::iterator it = owner.find(i.index());
171  iowner = it->second;
172  std::pair<RIMapit, RIMapit> foundiit = rimap.equal_range(i.index());
173  for (ColIterator j = _A_[i.index()].begin(); j != _A_[i.index()].end(); ++j) {
174  if (mask[j.index()] == 0) {
175  bool flag = true;
176  for (RIMapit foundi = foundiit.first; foundi != foundiit.second; ++foundi) {
177  std::pair<RIMapit, RIMapit> foundjit = rimap.equal_range(j.index());
178  for (RIMapit foundj = foundjit.first; foundj != foundjit.second; ++foundj)
179  if (foundj->second.first == foundi->second.first)
180  if (foundj->second.second->attribute() == OwnerOverlapCopyAttributeSet::owner
181  || foundj->second.first == iowner
182  || foundj->second.first < communication.communicator().rank()) {
183  flag = false;
184  continue;
185  }
186  if (flag == false)
187  continue;
188  }
189  // donĀ“t contribute to Ax if
190  // 1. the owner of j has i as interior/border dof
191  // 2. iowner has j as interior/border dof
192  // 3. there is another process with smaller rank that has i and j
193  // as interor/border dofs
194  // if the owner of j does not have i as interior/border dof,
195  // it will not be taken into account
196  if (flag==true)
197  bordercontribution.insert(std::pair<int,int>(i.index(),j.index()));
198  }
199  }
200  }
201  }
202  buildcomm = false;
203  }
204 
205  //compute alpha*A*x nonoverlapping case
206  for (RowIterator i = _A_.begin(); i != _A_.end(); ++i) {
207  if (mask[i.index()] == 0) {
208  //dof doesn't belong to process but is border (not ghost)
209  for (ColIterator j = _A_[i.index()].begin(); j != _A_[i.index()].end(); ++j) {
210  if (mask[j.index()] == 1) //j is owner => then sum entries
211  (*j).usmv(alpha,x[j.index()],y[i.index()]);
212  else if (mask[j.index()] == 0) {
213  std::pair<MM::iterator, MM::iterator> itp =
214  bordercontribution.equal_range(i.index());
215  for (MM::iterator it = itp.first; it != itp.second; ++it)
216  if ((*it).second == (int)j.index())
217  (*j).usmv(alpha,x[j.index()],y[i.index()]);
218  }
219  }
220  }
221  else if (mask[i.index()] == 1) {
222  for (ColIterator j = _A_[i.index()].begin(); j != _A_[i.index()].end(); ++j)
223  if (mask[j.index()] != 2)
224  (*j).usmv(alpha,x[j.index()],y[i.index()]);
225  }
226  }
227  }
228 
231  {
233  }
234 
235  private:
236  const matrix_type& _A_;
237  const communication_type& communication;
238  mutable bool buildcomm;
239  mutable std::vector<double> mask;
240  mutable std::multimap<int,int> bordercontribution;
241  };
242 
245  namespace Amg
246  {
247  template<class T> class ConstructionTraits;
248  }
249 
264  template<class C, class P>
266  : public Dune::Preconditioner<typename P::domain_type,typename P::range_type> {
268  public:
270  typedef typename P::domain_type domain_type;
272  typedef typename P::range_type range_type;
275 
284  : preconditioner(prec), communication(c)
285  {}
286 
292  virtual void pre (domain_type& x, range_type& b)
293  {
294  preconditioner.pre(x,b);
295  }
296 
302  virtual void apply (domain_type& v, const range_type& d)
303  {
304  // block preconditioner equivalent to WrappedPreconditioner from
305  // pdelab/backend/ovlpistsolverbackend.hh,
306  // but not to BlockPreconditioner from schwarz.hh
307  preconditioner.apply(v,d);
308  communication.addOwnerCopyToOwnerCopy(v,v);
309  }
310 
316  virtual void post (domain_type& x)
317  {
318  preconditioner.post(x);
319  }
320 
323  {
325  }
326 
327  private:
329  P& preconditioner;
330 
332  const communication_type& communication;
333  };
334 
337 } // end namespace
338 
339 #endif
Implementation of the BCRSMatrix class.
This file implements a vector space as a tensor product of a given vector space. The number of compon...
Traits class for generically constructing non default constructable types.
Definition: construction.hh:38
A linear operator exporting itself in matrix form.
Definition: operators.hh:106
Nonoverlapping parallel preconditioner.
Definition: novlpschwarz.hh:266
virtual SolverCategory::Category category() const
Category of the preconditioner (see SolverCategory::Category)
Definition: novlpschwarz.hh:322
virtual void apply(domain_type &v, const range_type &d)
Apply the preconditioner.
Definition: novlpschwarz.hh:302
P::range_type range_type
The range type of the preconditioner.
Definition: novlpschwarz.hh:272
virtual void post(domain_type &x)
Clean up.
Definition: novlpschwarz.hh:316
C communication_type
The type of the communication object.
Definition: novlpschwarz.hh:274
NonoverlappingBlockPreconditioner(P &prec, const communication_type &c)
Constructor.
Definition: novlpschwarz.hh:283
virtual void pre(domain_type &x, range_type &b)
Prepare the preconditioner.
Definition: novlpschwarz.hh:292
P::domain_type domain_type
The domain type of the preconditioner.
Definition: novlpschwarz.hh:270
A nonoverlapping operator with communication object.
Definition: novlpschwarz.hh:60
C communication_type
The type of the communication object.
Definition: novlpschwarz.hh:71
virtual void apply(const X &x, Y &y) const
apply operator to x:
Definition: novlpschwarz.hh:96
X domain_type
The type of the domain.
Definition: novlpschwarz.hh:65
virtual SolverCategory::Category category() const
Category of the linear operator (see SolverCategory::Category)
Definition: novlpschwarz.hh:230
Y range_type
The type of the range.
Definition: novlpschwarz.hh:67
M matrix_type
The type of the matrix we operate on.
Definition: novlpschwarz.hh:63
virtual const matrix_type & getmat() const
get matrix via *
Definition: novlpschwarz.hh:116
virtual void applyscaleadd(field_type alpha, const X &x, Y &y) const
apply operator to x, scale and add:
Definition: novlpschwarz.hh:104
X::field_type field_type
The field type of the range.
Definition: novlpschwarz.hh:69
NonoverlappingSchwarzOperator(const matrix_type &A, const communication_type &com)
constructor: just store a reference to a matrix.
Definition: novlpschwarz.hh:91
Base class for matrix free definition of preconditioners.
Definition: preconditioner.hh:30
Simple iterative methods like Jacobi, Gauss-Seidel, SOR, SSOR, etc. in a generic way.
Some generic functions for pretty printing vectors and matrices.
Dune namespace.
Definition: alignedallocator.hh:10
Define general, extensible interface for operators. The available implementation wraps a matrix.
Classes providing communication interfaces for overlapping Schwarz methods.
Define general preconditioner interface.
Define base class for scalar product and norm.
Implementations of the inverse operator interface.
Category
Definition: solvercategory.hh:21
@ nonoverlapping
Category for non-overlapping solvers.
Definition: solvercategory.hh:25
A simple timing class.
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