DUNE PDELab (2.8)

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 <dune/common/hybridutilities.hh>
16
17#include "io.hh"
18#include "bvector.hh"
19#include "vbvector.hh"
20#include "bcrsmatrix.hh"
21#include "io.hh"
22#include "gsetc.hh"
23#include "ilu.hh"
24#include "operators.hh"
25#include "solvers.hh"
26#include "preconditioners.hh"
27#include "scalarproducts.hh"
28#include "owneroverlapcopy.hh"
29
30namespace Dune {
31
60 template<class M, class X, class Y, class C>
62 {
63 public:
65 typedef M matrix_type;
67 typedef X domain_type;
69 typedef Y range_type;
71 typedef typename X::field_type field_type;
74
75 typedef typename C::PIS PIS;
76 typedef typename C::RI RI;
77 typedef typename RI::RemoteIndexList RIL;
78 typedef typename RI::const_iterator RIIterator;
79 typedef typename RIL::const_iterator RILIterator;
80 typedef typename M::ConstColIterator ColIterator;
81 typedef typename M::ConstRowIterator RowIterator;
82 typedef std::multimap<int,int> MM;
83 typedef std::multimap<int,std::pair<int,RILIterator> > RIMap;
84 typedef typename RIMap::iterator RIMapit;
85
94 : _A_(stackobject_to_shared_ptr(A)), communication(com), buildcomm(true)
95 {}
96
97 NonoverlappingSchwarzOperator (std::shared_ptr<const matrix_type> A, const communication_type& com)
98 : _A_(A), communication(com), buildcomm(true)
99 {}
100
102 virtual void apply (const X& x, Y& y) const
103 {
104 y = 0;
105 novlp_op_apply(x,y,1);
106 communication.addOwnerCopyToOwnerCopy(y,y);
107 }
108
110 virtual void applyscaleadd (field_type alpha, const X& x, Y& y) const
111 {
112 // only apply communication to alpha*A*x to make it consistent,
113 // y already has to be consistent.
114 Y y1(y);
115 y = 0;
116 novlp_op_apply(x,y,alpha);
117 communication.addOwnerCopyToOwnerCopy(y,y);
118 y += y1;
119 }
120
122 virtual const matrix_type& getmat () const
123 {
124 return *_A_;
125 }
126
127 void novlp_op_apply (const X& x, Y& y, field_type alpha) const
128 {
129 //get index sets
130 const PIS& pis=communication.indexSet();
131 const RI& ri = communication.remoteIndices();
132
133 // at the beginning make a multimap "bordercontribution".
134 // process has i and j as border dofs but is not the owner
135 // => only contribute to Ax if i,j is in bordercontribution
136 if (buildcomm == true) {
137
138 // set up mask vector
139 if (mask.size()!=static_cast<typename std::vector<double>::size_type>(x.size())) {
140 mask.resize(x.size());
141 for (typename std::vector<double>::size_type i=0; i<mask.size(); i++)
142 mask[i] = 1;
143 for (typename PIS::const_iterator i=pis.begin(); i!=pis.end(); ++i)
144 if (i->local().attribute()==OwnerOverlapCopyAttributeSet::copy)
145 mask[i->local().local()] = 0;
146 else if (i->local().attribute()==OwnerOverlapCopyAttributeSet::overlap)
147 mask[i->local().local()] = 2;
148 }
149
150 for (MM::iterator iter = bordercontribution.begin();
151 iter != bordercontribution.end(); ++iter)
152 bordercontribution.erase(iter);
153 std::map<int,int> owner; //key: local index i, value: process, that owns i
154 RIMap rimap;
155
156 // for each local index make multimap rimap:
157 // key: local index i, data: pair of process that knows i and pointer to RI entry
158 for (RowIterator i = _A_->begin(); i != _A_->end(); ++i)
159 if (mask[i.index()] == 0)
160 for (RIIterator remote = ri.begin(); remote != ri.end(); ++remote) {
161 RIL& ril = *(remote->second.first);
162 for (RILIterator rindex = ril.begin(); rindex != ril.end(); ++rindex)
163 if (rindex->attribute() != OwnerOverlapCopyAttributeSet::overlap)
164 if (rindex->localIndexPair().local().local() == i.index()) {
165 rimap.insert
166 (std::make_pair(i.index(),
167 std::pair<int,RILIterator>(remote->first, rindex)));
168 if(rindex->attribute()==OwnerOverlapCopyAttributeSet::owner)
169 owner.insert(std::make_pair(i.index(),remote->first));
170 }
171 }
172
173 int iowner = 0;
174 for (RowIterator i = _A_->begin(); i != _A_->end(); ++i) {
175 if (mask[i.index()] == 0) {
176 std::map<int,int>::iterator it = owner.find(i.index());
177 iowner = it->second;
178 std::pair<RIMapit, RIMapit> foundiit = rimap.equal_range(i.index());
179 for (ColIterator j = (*_A_)[i.index()].begin(); j != (*_A_)[i.index()].end(); ++j) {
180 if (mask[j.index()] == 0) {
181 bool flag = true;
182 for (RIMapit foundi = foundiit.first; foundi != foundiit.second; ++foundi) {
183 std::pair<RIMapit, RIMapit> foundjit = rimap.equal_range(j.index());
184 for (RIMapit foundj = foundjit.first; foundj != foundjit.second; ++foundj)
185 if (foundj->second.first == foundi->second.first)
186 if (foundj->second.second->attribute() == OwnerOverlapCopyAttributeSet::owner
187 || foundj->second.first == iowner
188 || foundj->second.first < communication.communicator().rank()) {
189 flag = false;
190 continue;
191 }
192 if (flag == false)
193 continue;
194 }
195 // donĀ“t contribute to Ax if
196 // 1. the owner of j has i as interior/border dof
197 // 2. iowner has j as interior/border dof
198 // 3. there is another process with smaller rank that has i and j
199 // as interor/border dofs
200 // if the owner of j does not have i as interior/border dof,
201 // it will not be taken into account
202 if (flag==true)
203 bordercontribution.insert(std::pair<int,int>(i.index(),j.index()));
204 }
205 }
206 }
207 }
208 buildcomm = false;
209 }
210
211 //compute alpha*A*x nonoverlapping case
212 for (RowIterator i = _A_->begin(); i != _A_->end(); ++i) {
213 if (mask[i.index()] == 0) {
214 //dof doesn't belong to process but is border (not ghost)
215 for (ColIterator j = (*_A_)[i.index()].begin(); j != (*_A_)[i.index()].end(); ++j) {
216 if (mask[j.index()] == 1) //j is owner => then sum entries
217 Impl::asMatrix(*j).usmv(alpha,x[j.index()],y[i.index()]);
218 else if (mask[j.index()] == 0) {
219 std::pair<MM::iterator, MM::iterator> itp =
220 bordercontribution.equal_range(i.index());
221 for (MM::iterator it = itp.first; it != itp.second; ++it)
222 if ((*it).second == (int)j.index())
223 Impl::asMatrix(*j).usmv(alpha,x[j.index()],y[i.index()]);
224 }
225 }
226 }
227 else if (mask[i.index()] == 1) {
228 for (ColIterator j = (*_A_)[i.index()].begin(); j != (*_A_)[i.index()].end(); ++j)
229 if (mask[j.index()] != 2)
230 Impl::asMatrix(*j).usmv(alpha,x[j.index()],y[i.index()]);
231 }
232 }
233 }
234
237 {
239 }
240
243 {
244 return communication;
245 }
246 private:
247 std::shared_ptr<const matrix_type> _A_;
248 const communication_type& communication;
249 mutable bool buildcomm;
250 mutable std::vector<double> mask;
251 mutable std::multimap<int,int> bordercontribution;
252 };
253
256 namespace Amg
257 {
258 template<class T> struct ConstructionTraits;
259 }
260
275 template<class C, class P>
277 : public Preconditioner<typename P::domain_type,typename P::range_type> {
279 using X = typename P::domain_type;
280 using Y = typename P::range_type;
281 public:
283 typedef typename P::domain_type domain_type;
285 typedef typename P::range_type range_type;
288
304 : _preconditioner(stackobject_to_shared_ptr(p)), _communication(c)
305 { }
306
314 NonoverlappingBlockPreconditioner (const std::shared_ptr<P>& p, const communication_type& c)
315 : _preconditioner(p), _communication(c)
316 { }
317
323 virtual void pre (domain_type& x, range_type& b)
324 {
325 _preconditioner->pre(x,b);
326 }
327
333 virtual void apply (domain_type& v, const range_type& d)
334 {
335 // block preconditioner equivalent to WrappedPreconditioner from
336 // pdelab/backend/ovlpistsolverbackend.hh,
337 // but not to BlockPreconditioner from schwarz.hh
338 _preconditioner->apply(v,d);
339 _communication.addOwnerCopyToOwnerCopy(v,v);
340 }
341
342 template<bool forward>
343 void apply (X& v, const Y& d)
344 {
345 _preconditioner->template apply<forward>(v,d);
346 _communication.addOwnerCopyToOwnerCopy(v,v);
347 }
348
354 virtual void post (domain_type& x)
355 {
356 _preconditioner->post(x);
357 }
358
361 {
363 }
364
365 private:
367 std::shared_ptr<P> _preconditioner;
368
370 const communication_type& _communication;
371 };
372
375} // end namespace
376
377#endif
This file implements a vector space as a tensor product of a given vector space. The number of compon...
A linear operator exporting itself in matrix form.
Definition: operators.hh:107
Nonoverlapping parallel preconditioner.
Definition: novlpschwarz.hh:277
NonoverlappingBlockPreconditioner(P &p, const communication_type &c)
Constructor.
Definition: novlpschwarz.hh:303
virtual SolverCategory::Category category() const
Category of the preconditioner (see SolverCategory::Category)
Definition: novlpschwarz.hh:360
virtual void apply(domain_type &v, const range_type &d)
Apply the preconditioner.
Definition: novlpschwarz.hh:333
P::range_type range_type
The range type of the preconditioner.
Definition: novlpschwarz.hh:285
NonoverlappingBlockPreconditioner(const std::shared_ptr< P > &p, const communication_type &c)
Constructor.
Definition: novlpschwarz.hh:314
virtual void post(domain_type &x)
Clean up.
Definition: novlpschwarz.hh:354
C communication_type
The type of the communication object.
Definition: novlpschwarz.hh:287
virtual void pre(domain_type &x, range_type &b)
Prepare the preconditioner.
Definition: novlpschwarz.hh:323
void apply(X &v, const Y &d)
Apply one step of the preconditioner to the system A(v)=d.
Definition: novlpschwarz.hh:343
P::domain_type domain_type
The domain type of the preconditioner.
Definition: novlpschwarz.hh:283
A nonoverlapping operator with communication object.
Definition: novlpschwarz.hh:62
C communication_type
The type of the communication object.
Definition: novlpschwarz.hh:73
virtual void apply(const X &x, Y &y) const
apply operator to x:
Definition: novlpschwarz.hh:102
X domain_type
The type of the domain.
Definition: novlpschwarz.hh:67
virtual SolverCategory::Category category() const
Category of the linear operator (see SolverCategory::Category)
Definition: novlpschwarz.hh:236
virtual const matrix_type & getmat() const
get matrix via *
Definition: novlpschwarz.hh:122
Y range_type
The type of the range.
Definition: novlpschwarz.hh:69
M matrix_type
The type of the matrix we operate on.
Definition: novlpschwarz.hh:65
const communication_type & getCommunication() const
Get the object responsible for communication.
Definition: novlpschwarz.hh:242
virtual void applyscaleadd(field_type alpha, const X &x, Y &y) const
apply operator to x, scale and add:
Definition: novlpschwarz.hh:110
X::field_type field_type
The field type of the range.
Definition: novlpschwarz.hh:71
NonoverlappingSchwarzOperator(const matrix_type &A, const communication_type &com)
constructor: just store a reference to a matrix.
Definition: novlpschwarz.hh:93
Base class for matrix free definition of preconditioners.
Definition: preconditioner.hh:30
Some generic functions for pretty printing vectors and matrices.
Simple iterative methods like Jacobi, Gauss-Seidel, SOR, SSOR, etc. in a generic way.
The incomplete LU factorization kernels.
Dune namespace.
Definition: alignedallocator.hh:11
std::shared_ptr< T > stackobject_to_shared_ptr(T &t)
Create a shared_ptr for a stack-allocated object.
Definition: shared_ptr.hh:70
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.
Traits class for generically constructing non default constructable types.
Definition: construction.hh:37
Category
Definition: solvercategory.hh:21
@ nonoverlapping
Category for non-overlapping solvers.
Definition: solvercategory.hh:25
A simple timing class.
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