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Teko_InvLSCStrategy.cpp
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46 
47 #include "NS/Teko_InvLSCStrategy.hpp"
48 
49 #include "Thyra_DefaultDiagonalLinearOp.hpp"
50 #include "Thyra_EpetraThyraWrappers.hpp"
51 #include "Thyra_get_Epetra_Operator.hpp"
52 #include "Thyra_EpetraLinearOp.hpp"
53 #include "Thyra_VectorStdOps.hpp"
54 
55 #include "Epetra_Vector.h"
56 #include "Epetra_Map.h"
57 
58 #include "EpetraExt_RowMatrixOut.h"
59 #include "EpetraExt_MultiVectorOut.h"
60 #include "EpetraExt_VectorOut.h"
61 
62 #include "Teuchos_Time.hpp"
63 #include "Teuchos_TimeMonitor.hpp"
64 
65 // Teko includes
66 #include "Teko_Utilities.hpp"
67 #include "NS/Teko_LSCPreconditionerFactory.hpp"
68 #include "Teko_EpetraHelpers.hpp"
69 #include "Teko_EpetraOperatorWrapper.hpp"
70 #include "Teko_TpetraHelpers.hpp"
71 
72 #include "Thyra_TpetraLinearOp.hpp"
73 
74 using Teuchos::RCP;
75 using Teuchos::rcp_dynamic_cast;
76 using Teuchos::rcp_const_cast;
77 
78 namespace Teko {
79 namespace NS {
80 
82 // InvLSCStrategy Implementation
84 
85 // constructors
87 InvLSCStrategy::InvLSCStrategy()
88  : massMatrix_(Teuchos::null), invFactoryF_(Teuchos::null), invFactoryS_(Teuchos::null), eigSolveParam_(5)
89  , rowZeroingNeeded_(false), useFullLDU_(false), useMass_(false), useLumping_(false), useWScaling_(false), scaleType_(Diagonal)
90  , isSymmetric_(true), assumeStable_(false)
91 { }
92 
93 InvLSCStrategy::InvLSCStrategy(const Teuchos::RCP<InverseFactory> & factory,bool rzn)
94  : massMatrix_(Teuchos::null), invFactoryF_(factory), invFactoryS_(factory), eigSolveParam_(5), rowZeroingNeeded_(rzn)
95  , useFullLDU_(false), useMass_(false), useLumping_(false), useWScaling_(false), scaleType_(Diagonal)
96  , isSymmetric_(true), assumeStable_(false)
97 { }
98 
99 InvLSCStrategy::InvLSCStrategy(const Teuchos::RCP<InverseFactory> & invFactF,
100  const Teuchos::RCP<InverseFactory> & invFactS,
101  bool rzn)
102  : massMatrix_(Teuchos::null), invFactoryF_(invFactF), invFactoryS_(invFactS), eigSolveParam_(5), rowZeroingNeeded_(rzn)
103  , useFullLDU_(false), useMass_(false), useLumping_(false), useWScaling_(false), scaleType_(Diagonal)
104  , isSymmetric_(true), assumeStable_(false)
105 { }
106 
107 InvLSCStrategy::InvLSCStrategy(const Teuchos::RCP<InverseFactory> & factory,LinearOp & mass,bool rzn)
108  : massMatrix_(mass), invFactoryF_(factory), invFactoryS_(factory), eigSolveParam_(5), rowZeroingNeeded_(rzn)
109  , useFullLDU_(false), useMass_(false), useLumping_(false), useWScaling_(false), scaleType_(Diagonal)
110  , isSymmetric_(true), assumeStable_(false)
111 { }
112 
113 InvLSCStrategy::InvLSCStrategy(const Teuchos::RCP<InverseFactory> & invFactF,
114  const Teuchos::RCP<InverseFactory> & invFactS,
115  LinearOp & mass,bool rzn)
116  : massMatrix_(mass), invFactoryF_(invFactF), invFactoryS_(invFactS), eigSolveParam_(5), rowZeroingNeeded_(rzn)
117  , useFullLDU_(false), useMass_(false), useLumping_(false), useWScaling_(false), scaleType_(Diagonal)
118  , isSymmetric_(true), assumeStable_(false)
119 { }
120 
122 
123 void InvLSCStrategy::buildState(BlockedLinearOp & A,BlockPreconditionerState & state) const
124 {
125  Teko_DEBUG_SCOPE("InvLSCStrategy::buildState",10);
126 
127  LSCPrecondState * lscState = dynamic_cast<LSCPrecondState*>(&state);
128  TEUCHOS_ASSERT(lscState!=0);
129 
130  // if neccessary save state information
131  if(not lscState->isInitialized()) {
132  Teko_DEBUG_EXPR(Teuchos::Time timer(""));
133 
134  // construct operators
135  {
136  Teko_DEBUG_SCOPE("LSC::buildState constructing operators",1);
137  Teko_DEBUG_EXPR(timer.start(true));
138 
139  initializeState(A,lscState);
140 
141  Teko_DEBUG_EXPR(timer.stop());
142  Teko_DEBUG_MSG("LSC::buildState BuildOpsTime = " << timer.totalElapsedTime(),1);
143  }
144 
145  // Build the inverses
146  {
147  Teko_DEBUG_SCOPE("LSC::buildState calculating inverses",1);
148  Teko_DEBUG_EXPR(timer.start(true));
149 
150  computeInverses(A,lscState);
151 
152  Teko_DEBUG_EXPR(timer.stop());
153  Teko_DEBUG_MSG("LSC::buildState BuildInvTime = " << timer.totalElapsedTime(),1);
154  }
155  }
156 }
157 
158 // functions inherited from LSCStrategy
159 LinearOp InvLSCStrategy::getInvBQBt(const BlockedLinearOp & /* A */,BlockPreconditionerState & state) const
160 {
161  return state.getInverse("invBQBtmC");
162 }
163 
164 LinearOp InvLSCStrategy::getInvBHBt(const BlockedLinearOp & /* A */,BlockPreconditionerState & state) const
165 {
166  return state.getInverse("invBHBtmC");
167 }
168 
169 LinearOp InvLSCStrategy::getInvF(const BlockedLinearOp & /* A */,BlockPreconditionerState & state) const
170 {
171  return state.getInverse("invF");
172 }
173 
174 LinearOp InvLSCStrategy::getOuterStabilization(const BlockedLinearOp & /* A */,BlockPreconditionerState & state) const
175 {
176  LSCPrecondState * lscState = dynamic_cast<LSCPrecondState*>(&state);
177  TEUCHOS_ASSERT(lscState!=0);
178  TEUCHOS_ASSERT(lscState->isInitialized())
179 
180  return lscState->aiD_;
181 }
182 
183 LinearOp InvLSCStrategy::getInvMass(const BlockedLinearOp & /* A */,BlockPreconditionerState & state) const
184 {
185  LSCPrecondState * lscState = dynamic_cast<LSCPrecondState*>(&state);
186  TEUCHOS_ASSERT(lscState!=0);
187  TEUCHOS_ASSERT(lscState->isInitialized())
188 
189  return lscState->invMass_;
190 }
191 
192 LinearOp InvLSCStrategy::getHScaling(const BlockedLinearOp & A,BlockPreconditionerState & state) const
193 {
194  if(hScaling_!=Teuchos::null) return hScaling_;
195  return getInvMass(A,state);
196 }
197 
199 void InvLSCStrategy::initializeState(const BlockedLinearOp & A,LSCPrecondState * state) const
200 {
201  Teko_DEBUG_SCOPE("InvLSCStrategy::initializeState",10);
202 
203  const LinearOp F = getBlock(0,0,A);
204  const LinearOp Bt = getBlock(0,1,A);
205  const LinearOp B = getBlock(1,0,A);
206  const LinearOp C = getBlock(1,1,A);
207 
208  LinearOp D = B;
209  LinearOp G = isSymmetric_ ? Bt : adjoint(D);
210 
211  bool isStabilized = assumeStable_ ? false : (not isZeroOp(C));
212 
213  // The logic follows like this
214  // if there is no mass matrix available --> build from F
215  // if there is a mass matrix and the inverse hasn't yet been built
216  // --> build from the mass matrix
217  // otherwise, there is already an invMass_ matrix that is appropriate
218  // --> use that one
219  if(massMatrix_==Teuchos::null) {
220  Teko_DEBUG_MSG("LSC::initializeState Build Scaling <F> type \""
221  << getDiagonalName(scaleType_) << "\"" ,1);
222  state->invMass_ = getInvDiagonalOp(F,scaleType_);
223  }
224  else if(state->invMass_==Teuchos::null) {
225  Teko_DEBUG_MSG("LSC::initializeState Build Scaling <mass> type \""
226  << getDiagonalName(scaleType_) << "\"" ,1);
227  state->invMass_ = getInvDiagonalOp(massMatrix_,scaleType_);
228  }
229  // else "invMass_" should be set and there is no reason to rebuild it
230 
231  // compute BQBt
232  state->BQBt_ = explicitMultiply(B,state->invMass_,Bt,state->BQBt_);
233  Teko_DEBUG_MSG("Computed BQBt",10);
234 
235  // if there is no H-Scaling
236  if(wScaling_!=Teuchos::null && hScaling_==Teuchos::null) {
237  // from W vector build H operator scaling
238  RCP<const Thyra::VectorBase<double> > w = wScaling_->col(0);
239  RCP<const Thyra::VectorBase<double> > iQu
240  = rcp_dynamic_cast<const Thyra::DiagonalLinearOpBase<double> >(state->invMass_)->getDiag();
241  RCP<Thyra::VectorBase<double> > h = Thyra::createMember(iQu->space());
242 
243  Thyra::put_scalar(0.0,h.ptr());
244  Thyra::ele_wise_prod(1.0,*w,*iQu,h.ptr());
245  hScaling_ = Teuchos::rcp(new Thyra::DefaultDiagonalLinearOp<double>(h));
246  }
247 
248  LinearOp H = hScaling_;
249  if(H==Teuchos::null && not isSymmetric_)
250  H = state->invMass_;
251 
252  // setup the scaling operator
253  if(H==Teuchos::null)
254  state->BHBt_ = state->BQBt_;
255  else {
256  RCP<Teuchos::Time> time = Teuchos::TimeMonitor::getNewTimer("InvLSCStrategy::initializeState Build BHBt");
257  Teuchos::TimeMonitor timer(*time);
258 
259  // compute BHBt
260  state->BHBt_ = explicitMultiply(D,H,G,state->BHBt_);
261  }
262 
263  // if this is a stable discretization...we are done!
264  if(not isStabilized) {
265  state->addInverse("BQBtmC",state->BQBt_);
266  state->addInverse("BHBtmC",state->BHBt_);
267  state->gamma_ = 0.0;
268  state->alpha_ = 0.0;
269  state->aiD_ = Teuchos::null;
270 
271  state->setInitialized(true);
272 
273  return;
274  }
275 
276  // for Epetra_CrsMatrix...zero out certain rows: this ensures spectral radius is correct
277  LinearOp modF = F;
278  if(!Teko::TpetraHelpers::isTpetraLinearOp(F)){ // Epetra
279  const RCP<const Epetra_Operator> epF = Thyra::get_Epetra_Operator(*F);
280  if(epF!=Teuchos::null && rowZeroingNeeded_) {
281  // try to get a CRS matrix
282  const RCP<const Epetra_CrsMatrix> crsF = rcp_dynamic_cast<const Epetra_CrsMatrix>(epF);
283 
284  // if it is a CRS matrix get rows that need to be zeroed
285  if(crsF!=Teuchos::null) {
286  std::vector<int> zeroIndices;
287 
288  // get rows in need of zeroing
289  Teko::Epetra::identityRowIndices(crsF->RowMap(), *crsF,zeroIndices);
290 
291  // build an operator that zeros those rows
292  modF = Thyra::epetraLinearOp(rcp(new Teko::Epetra::ZeroedOperator(zeroIndices,crsF)));
293  }
294  }
295  } else { //Tpetra
296  ST scalar = 0.0;
297  bool transp = false;
298  RCP<const Tpetra::CrsMatrix<ST,LO,GO,NT> > crsF = Teko::TpetraHelpers::getTpetraCrsMatrix(F, &scalar, &transp);
299 
300  std::vector<GO> zeroIndices;
301 
302  // get rows in need of zeroing
303  Teko::TpetraHelpers::identityRowIndices(*crsF->getRowMap(), *crsF,zeroIndices);
304 
305  // build an operator that zeros those rows
306  modF = Thyra::tpetraLinearOp<ST,LO,GO,NT>(Thyra::tpetraVectorSpace<ST,LO,GO,NT>(crsF->getDomainMap()),Thyra::tpetraVectorSpace<ST,LO,GO,NT>(crsF->getRangeMap()),rcp(new Teko::TpetraHelpers::ZeroedOperator(zeroIndices,crsF)));
307  }
308 
309  // compute gamma
310  Teko_DEBUG_MSG("Calculating gamma",10);
311  LinearOp iQuF = multiply(state->invMass_,modF);
312 
313  // do 6 power iterations to compute spectral radius: EHSST2007 Eq. 4.28
314  Teko::LinearOp stabMatrix; // this is the pressure stabilization matrix to use
315  state->gamma_ = std::fabs(Teko::computeSpectralRad(iQuF,5e-2,false,eigSolveParam_))/3.0;
316  Teko_DEBUG_MSG("Calculated gamma",10);
317  if(userPresStabMat_!=Teuchos::null) {
318  Teko::LinearOp invDGl = Teko::getInvDiagonalOp(userPresStabMat_);
319  Teko::LinearOp gammaOp = multiply(invDGl,C);
320  state->gamma_ *= std::fabs(Teko::computeSpectralRad(gammaOp,5e-2,false,eigSolveParam_));
321  stabMatrix = userPresStabMat_;
322  } else
323  stabMatrix = C;
324 
325  // compute alpha scaled inv(D): EHSST2007 Eq. 4.29
326  // construct B_idF_Bt and save it for refilling later: This could reuse BQBt graph
327  LinearOp invDiagF = getInvDiagonalOp(F);
328  Teko::ModifiableLinearOp modB_idF_Bt = state->getInverse("BidFBt");
329  modB_idF_Bt = explicitMultiply(B,invDiagF,Bt,modB_idF_Bt);
330  state->addInverse("BidFBt",modB_idF_Bt);
331  const LinearOp B_idF_Bt = modB_idF_Bt;
332 
333  MultiVector vec_D = getDiagonal(B_idF_Bt); // this memory could be reused
334  update(-1.0,getDiagonal(C),1.0,vec_D); // vec_D = diag(B*inv(diag(F))*Bt)-diag(C)
335  const LinearOp invD = buildInvDiagonal(vec_D,"inv(D)");
336 
337  Teko_DEBUG_MSG("Calculating alpha",10);
338  const LinearOp BidFBtidD = multiply<double>(B_idF_Bt,invD);
339  double num = std::fabs(Teko::computeSpectralRad(BidFBtidD,5e-2,false,eigSolveParam_));
340  Teko_DEBUG_MSG("Calculated alpha",10);
341  state->alpha_ = 1.0/num;
342  state->aiD_ = Thyra::scale(state->alpha_,invD);
343 
344  // now build B*Q*Bt-gamma*C
345  Teko::ModifiableLinearOp BQBtmC = state->getInverse("BQBtmC");
346  BQBtmC = explicitAdd(state->BQBt_,scale(-state->gamma_,stabMatrix),BQBtmC);
347  state->addInverse("BQBtmC",BQBtmC);
348 
349  // now build B*H*Bt-gamma*C
350  Teko::ModifiableLinearOp BHBtmC = state->getInverse("BHBtmC");
351  if(H==Teuchos::null)
352  BHBtmC = BQBtmC;
353  else {
354  BHBtmC = explicitAdd(state->BHBt_,scale(-state->gamma_,stabMatrix),BHBtmC);
355  }
356  state->addInverse("BHBtmC",BHBtmC);
357 
358  Teko_DEBUG_MSG_BEGIN(5)
359  DEBUG_STREAM << "LSC Gamma Parameter = " << state->gamma_ << std::endl;
360  DEBUG_STREAM << "LSC Alpha Parameter = " << state->alpha_ << std::endl;
361  Teko_DEBUG_MSG_END()
362 
363  state->setInitialized(true);
364 }
365 
371 void InvLSCStrategy::computeInverses(const BlockedLinearOp & A,LSCPrecondState * state) const
372 {
373  Teko_DEBUG_SCOPE("InvLSCStrategy::computeInverses",10);
374  Teko_DEBUG_EXPR(Teuchos::Time invTimer(""));
375 
376  const LinearOp F = getBlock(0,0,A);
377 
379 
380  // (re)build the inverse of F
381  Teko_DEBUG_MSG("LSC::computeInverses Building inv(F)",1);
382  Teko_DEBUG_EXPR(invTimer.start(true));
383  InverseLinearOp invF = state->getInverse("invF");
384  if(invF==Teuchos::null) {
385  invF = buildInverse(*invFactoryF_,F);
386  state->addInverse("invF",invF);
387  } else {
388  rebuildInverse(*invFactoryF_,F,invF);
389  }
390  Teko_DEBUG_EXPR(invTimer.stop());
391  Teko_DEBUG_MSG("LSC::computeInverses GetInvF = " << invTimer.totalElapsedTime(),1);
392 
394 
395  // (re)build the inverse of BQBt
396  Teko_DEBUG_MSG("LSC::computeInverses Building inv(BQBtmC)",1);
397  Teko_DEBUG_EXPR(invTimer.start(true));
398  const LinearOp BQBt = state->getInverse("BQBtmC");
399  InverseLinearOp invBQBt = state->getInverse("invBQBtmC");
400  if(invBQBt==Teuchos::null) {
401  invBQBt = buildInverse(*invFactoryS_,BQBt);
402  state->addInverse("invBQBtmC",invBQBt);
403  } else {
404  rebuildInverse(*invFactoryS_,BQBt,invBQBt);
405  }
406  Teko_DEBUG_EXPR(invTimer.stop());
407  Teko_DEBUG_MSG("LSC::computeInverses GetInvBQBt = " << invTimer.totalElapsedTime(),1);
408 
410 
411  // Compute the inverse of BHBt or just use BQBt
412  ModifiableLinearOp invBHBt = state->getInverse("invBHBtmC");
413  if(hScaling_!=Teuchos::null || not isSymmetric_) {
414  // (re)build the inverse of BHBt
415  Teko_DEBUG_MSG("LSC::computeInverses Building inv(BHBtmC)",1);
416  Teko_DEBUG_EXPR(invTimer.start(true));
417  const LinearOp BHBt = state->getInverse("BHBtmC");
418  if(invBHBt==Teuchos::null) {
419  invBHBt = buildInverse(*invFactoryS_,BHBt);
420  state->addInverse("invBHBtmC",invBHBt);
421  } else {
422  rebuildInverse(*invFactoryS_,BHBt,invBHBt);
423  }
424  Teko_DEBUG_EXPR(invTimer.stop());
425  Teko_DEBUG_MSG("LSC::computeInverses GetInvBHBt = " << invTimer.totalElapsedTime(),1);
426  }
427  else if(invBHBt==Teuchos::null) {
428  // just use the Q version
429  state->addInverse("invBHBtmC",invBQBt);
430  }
431 }
432 
434 void InvLSCStrategy::initializeFromParameterList(const Teuchos::ParameterList & pl,const InverseLibrary & invLib)
435 {
436  // get string specifying inverse
437  std::string invStr="", invVStr="", invPStr="";
438  bool rowZeroing = true;
439  bool useLDU = false;
440  scaleType_ = Diagonal;
441 
442  // "parse" the parameter list
443  if(pl.isParameter("Inverse Type"))
444  invStr = pl.get<std::string>("Inverse Type");
445  if(pl.isParameter("Inverse Velocity Type"))
446  invVStr = pl.get<std::string>("Inverse Velocity Type");
447  if(pl.isParameter("Inverse Pressure Type"))
448  invPStr = pl.get<std::string>("Inverse Pressure Type");
449  if(pl.isParameter("Ignore Boundary Rows"))
450  rowZeroing = pl.get<bool>("Ignore Boundary Rows");
451  if(pl.isParameter("Use LDU"))
452  useLDU = pl.get<bool>("Use LDU");
453  if(pl.isParameter("Use Mass Scaling"))
454  useMass_ = pl.get<bool>("Use Mass Scaling");
455  // if(pl.isParameter("Use Lumping"))
456  // useLumping_ = pl.get<bool>("Use Lumping");
457  if(pl.isParameter("Use W-Scaling"))
458  useWScaling_ = pl.get<bool>("Use W-Scaling");
459  if(pl.isParameter("Eigen Solver Iterations"))
460  eigSolveParam_ = pl.get<int>("Eigen Solver Iterations");
461  if(pl.isParameter("Scaling Type")) {
462  scaleType_ = getDiagonalType(pl.get<std::string>("Scaling Type"));
463  TEUCHOS_TEST_FOR_EXCEPT(scaleType_==NotDiag);
464  }
465  if(pl.isParameter("Assume Stable Discretization"))
466  assumeStable_ = pl.get<bool>("Assume Stable Discretization");
467 
468  Teko_DEBUG_MSG_BEGIN(5)
469  DEBUG_STREAM << "LSC Inverse Strategy Parameters: " << std::endl;
470  DEBUG_STREAM << " inv type = \"" << invStr << "\"" << std::endl;
471  DEBUG_STREAM << " inv v type = \"" << invVStr << "\"" << std::endl;
472  DEBUG_STREAM << " inv p type = \"" << invPStr << "\"" << std::endl;
473  DEBUG_STREAM << " bndry rows = " << rowZeroing << std::endl;
474  DEBUG_STREAM << " use ldu = " << useLDU << std::endl;
475  DEBUG_STREAM << " use mass = " << useMass_ << std::endl;
476  DEBUG_STREAM << " use w-scaling = " << useWScaling_ << std::endl;
477  DEBUG_STREAM << " assume stable = " << assumeStable_ << std::endl;
478  DEBUG_STREAM << " scale type = " << getDiagonalName(scaleType_) << std::endl;
479  DEBUG_STREAM << "LSC Inverse Strategy Parameter list: " << std::endl;
480  pl.print(DEBUG_STREAM);
481  Teko_DEBUG_MSG_END()
482 
483  // set defaults as needed
484  if(invStr=="") invStr = "Amesos";
485  if(invVStr=="") invVStr = invStr;
486  if(invPStr=="") invPStr = invStr;
487 
488  // build velocity inverse factory
489  invFactoryF_ = invLib.getInverseFactory(invVStr);
490  invFactoryS_ = invFactoryF_; // by default these are the same
491  if(invVStr!=invPStr) // if different, build pressure inverse factory
492  invFactoryS_ = invLib.getInverseFactory(invPStr);
493 
494  // set other parameters
495  setUseFullLDU(useLDU);
496  setRowZeroing(rowZeroing);
497 
498  if(useMass_) {
499  Teuchos::RCP<Teko::RequestHandler> rh = getRequestHandler();
500  rh->preRequest<Teko::LinearOp>(Teko::RequestMesg("Velocity Mass Matrix"));
501  Teko::LinearOp mass
502  = rh->request<Teko::LinearOp>(Teko::RequestMesg("Velocity Mass Matrix"));
503  setMassMatrix(mass);
504  }
505 
506 }
507 
509 Teuchos::RCP<Teuchos::ParameterList> InvLSCStrategy::getRequestedParameters() const
510 {
511  Teuchos::RCP<Teuchos::ParameterList> result;
512  Teuchos::RCP<Teuchos::ParameterList> pl = rcp(new Teuchos::ParameterList());
513 
514  // grab parameters from F solver
515  RCP<Teuchos::ParameterList> fList = invFactoryF_->getRequestedParameters();
516  if(fList!=Teuchos::null) {
517  Teuchos::ParameterList::ConstIterator itr;
518  for(itr=fList->begin();itr!=fList->end();++itr)
519  pl->setEntry(itr->first,itr->second);
520  result = pl;
521  }
522 
523  // grab parameters from S solver
524  RCP<Teuchos::ParameterList> sList = invFactoryS_->getRequestedParameters();
525  if(sList!=Teuchos::null) {
526  Teuchos::ParameterList::ConstIterator itr;
527  for(itr=sList->begin();itr!=sList->end();++itr)
528  pl->setEntry(itr->first,itr->second);
529  result = pl;
530  }
531 
532  // use the mass matrix
533  if(useWScaling_) {
534  pl->set<Teko::LinearOp>("W-Scaling Vector", Teuchos::null,"W-Scaling Vector");
535  result = pl;
536  }
537 
538  return result;
539 }
540 
542 bool InvLSCStrategy::updateRequestedParameters(const Teuchos::ParameterList & pl)
543 {
544  Teko_DEBUG_SCOPE("InvLSCStrategy::updateRequestedParameters",10);
545  bool result = true;
546 
547  // update requested parameters in solvers
548  result &= invFactoryF_->updateRequestedParameters(pl);
549  result &= invFactoryS_->updateRequestedParameters(pl);
550 
551  // use W scaling matrix
552  if(useWScaling_) {
553  Teko::MultiVector wScale = pl.get<Teko::MultiVector>("W-Scaling Vector");
554 
555  if(wScale==Teuchos::null)
556  result &= false;
557  else
558  setWScaling(wScale);
559  }
560 
561  return result;
562 }
563 
564 } // end namespace NS
565 } // end namespace Teko
void rebuildInverse(const InverseFactory &factory, const LinearOp &A, InverseLinearOp &invA)
virtual Teko::InverseLinearOp getInverse(const std::string &name) const
Get a named inverse from the state object.
An implementation of a state object for block preconditioners.
virtual void addInverse(const std::string &name, const Teko::InverseLinearOp &ilo)
Add a named inverse to the state object.
LinearOp invMass_
Inverse mass operator ( )
Preconditioner state for the LSC factory.
InverseLinearOp buildInverse(const InverseFactory &factory, const LinearOp &A)
Build an inverse operator using a factory and a linear operator.
virtual void setInitialized(bool init=true)