void InverseOperator::Reshape(const Operator& Op, const string Type,
Teuchos::ParameterList& List, Teuchos::ParameterList* pushlist)
{
ResetTimer();
StackPush();
Op_ = Op;
RCPRowMatrix_ = Op.GetRCPRowMatrix();
// FIXME: to add overlap and level-of-fill
int NumSweeps = List.get("smoother: sweeps", 1);
double Damping = List.get("smoother: damping factor", 0.67);
int LOF_ilu = List.get("smoother: ilu fill", 0);
double LOF_ict = List.get("smoother: ilut fill", 1.0);
double LOF_ilut = List.get("smoother: ict fill", 1.0);
string reorder = List.get("schwarz: reordering type","rcm");
Teuchos::ParameterList IFPACKList;
// any parameters from the main list List are overwritten by the pushlist
IFPACKList.set("relaxation: sweeps", NumSweeps);
IFPACKList.set("relaxation: damping factor", Damping);
IFPACKList.set("fact: level-of-fill", LOF_ilu);
IFPACKList.set("fact: ict level-of-fill", LOF_ict);
IFPACKList.set("fact: ilut level-of-fill", LOF_ilut);
IFPACKList.set("relaxation: zero starting solution", false);
IFPACKList.set("schwarz: reordering type",reorder);
IFPACKList.set("fact: relative threshold",1.0);
// if present, the pushlist is assumed to be a preconstructed ifpack list
// that is copied straight to the ifpack list here
// entries in pushlist overwrite previous list entries
if (pushlist)
IFPACKList.setParameters(*pushlist);
bool verbose = false; //(GetMyPID() == 0 && GetPrintLevel() > 5);
// the ML smoother
RCPMLPrec_ = Teuchos::null;
// The Ifpack smoother
Ifpack_Preconditioner* Prec = NULL;
if (Type == "Jacobi") {
if (verbose) {
cout << "Damping factor = " << Damping
<< ", sweeps = " << NumSweeps << endl;
cout << endl;
}
IFPACKList.set("relaxation: type", "Jacobi");
Prec = new Ifpack_PointRelaxation(RowMatrix());
}
else if (Type == "Gauss-Seidel") {
if (verbose) {
cout << "Damping factor = " << Damping
<< ", sweeps = " << NumSweeps << endl;
cout << endl;
}
IFPACKList.set("relaxation: type", "Gauss-Seidel");
Prec = new Ifpack_PointRelaxation(RowMatrix());
}
else if (Type == "symmetric Gauss-Seidel") {
if (verbose) {
cout << "Damping factor = " << Damping
<< ", sweeps = " << NumSweeps << endl;
cout << endl;
}
IFPACKList.set("relaxation: type", "symmetric Gauss-Seidel");
Prec = new Ifpack_PointRelaxation(RowMatrix());
}
else if (Type == "ILU") {
if (verbose) {
cout << "ILU factorization, ov = 0, no reordering, LOF = "
<< LOF_ilu << endl;
cout << endl;
}
// use the Additive Schwarz class because it does reordering
Prec = new Ifpack_AdditiveSchwarz<Ifpack_ILU>(RowMatrix());
}
else if (Type == "ILUT") {
if (verbose) {
cout << "ILUT factorization, ov = 0, no reordering, LOF = "
<< LOF_ilu << endl;
cout << endl;
}
Prec = new Ifpack_ILUT(RowMatrix());
}
else if (Type == "IC") {
if (verbose) {
cout << "IC factorization, ov = 0, no reordering, LOF = "
<< LOF_ilu << endl;
cout << endl;
}
Prec = new Ifpack_IC(RowMatrix());
}
else if (Type == "ICT") {
if (verbose) {
cout << "ICT factorization, ov = 0, no reordering, LOF = "
<< LOF_ilu << endl;
cout << endl;
}
Prec = new Ifpack_ICT(RowMatrix());
}
else if (Type == "LU") {
if (verbose) {
cout << "LU factorization, ov = 0, local solver = KLU" << endl;
cout << endl;
}
Prec = new Ifpack_AdditiveSchwarz<Ifpack_Amesos>(RowMatrix());
}
else if (Type == "Amesos" || Type == "Amesos-KLU") {
if (verbose) {
cout << "Amesos-KLU direct solver" << endl;
cout << endl;
}
Prec = new Ifpack_Amesos(RowMatrix());
}
else if (Type == "MLS" || Type == "ML MLS" ||
Type == "ML symmetric Gauss-Seidel" ||
Type == "ML Gauss-Seidel")
{
if (verbose) {
cout << "ML's MLS smoother" << endl;
cout << endl;
}
Teuchos::ParameterList mlparams;
ML_Epetra::SetDefaults("SA",mlparams);
int output = List.get("ML output",-47);
if (output == -47) output = List.get("output",-1);
if (output != -1) mlparams.set("ML output",output);
mlparams.set("max levels",1);
int sweeps = List.get("smoother: sweeps",1);
mlparams.set("coarse: sweeps",sweeps);
double damp = List.get("smoother: damping factor",0.67);
mlparams.set("coarse: damping factor",damp);
mlparams.set("zero starting solution", false);
if (Type == "MLS" || Type == "ML MLS")
{
mlparams.set("coarse: type","MLS"); // MLS symmetric Gauss-Seidel Amesos-KLU
int poly = List.get("smoother: MLS polynomial order",3);
mlparams.set("coarse: MLS polynomial order",poly);
}
else if (Type == "ML symmetric Gauss-Seidel")
mlparams.set("coarse: type","symmetric Gauss-Seidel"); // MLS symmetric Gauss-Seidel Amesos-KLU
else if (Type == "ML Gauss-Seidel")
mlparams.set("coarse: type","Gauss-Seidel");
else if (Type == "ML Jacobi")
mlparams.set("coarse: type","Jacobi");
else
ML_THROW("Requested type (" + Type + ") not recognized", -1);
RCPMLPrec_ = Teuchos::rcp(new ML_Epetra::MultiLevelPreconditioner(*RowMatrix(),mlparams,true));
}
else
ML_THROW("Requested type (" + Type + ") not recognized", -1);
if (Prec)
{
RCPData_ = Teuchos::rcp(Prec);
RCPData_->SetParameters(IFPACKList);
RCPData_->Initialize();
RCPData_->Compute();
UpdateFlops(RCPData_->InitializeFlops());
UpdateFlops(RCPData_->ComputeFlops());
}
else
RCPData_ = Teuchos::null;
StackPop();
UpdateTime();
}
SolutionSet *MOCHC::execute() {
int populationSize;
int iterations;
int maxEvaluations;
int convergenceValue;
int minimumDistance;
int evaluations;
double preservedPopulation;
double initialConvergenceCount;
bool condition = false;
SolutionSet *solutionSet, *offSpringPopulation, *newPopulation;
Comparator * crowdingComparator = new CrowdingComparator();
SolutionSet * population;
SolutionSet * offspringPopulation;
SolutionSet * unionSolution;
Operator * cataclysmicMutation;
Operator * crossover;
Operator * parentSelection;
//Read the parameters
populationSize = *(int *) getInputParameter("populationSize");
maxEvaluations = *(int *) getInputParameter("maxEvaluations");
convergenceValue = *(int *) getInputParameter("convergenceValue");
initialConvergenceCount = *(double *)getInputParameter("initialConvergenceCount");
preservedPopulation = *(double *)getInputParameter("preservedPopulation");
//Read the operators
cataclysmicMutation = operators_["mutation"];
crossover = operators_["crossover"];
parentSelection = operators_["parentSelection"];
iterations = 0;
evaluations = 0;
// calculating the maximum problem sizes ....
Solution * sol = new Solution(problem_);
int size = 0;
for (int var = 0; var < problem_->getNumberOfVariables(); var++) {
Binary *binaryVar;
binaryVar = (Binary *)sol->getDecisionVariables()[var];
size += binaryVar->getNumberOfBits();
}
minimumDistance = (int) std::floor(initialConvergenceCount*size);
// Create the initial solutionSet
Solution * newSolution;
population = new SolutionSet(populationSize);
for (int i = 0; i < populationSize; i++) {
newSolution = new Solution(problem_);
problem_->evaluate(newSolution);
problem_->evaluateConstraints(newSolution);
evaluations++;
population->add(newSolution);
} //for
while (!condition) {
offSpringPopulation = new SolutionSet(populationSize);
Solution **parents = new Solution*[2];
for (int i = 0; i < population->size()/2; i++) {
parents[0] = (Solution *) (parentSelection->execute(population));
parents[1] = (Solution *) (parentSelection->execute(population));
if (hammingDistance(*parents[0],*parents[1])>= minimumDistance) {
Solution ** offSpring = (Solution **) (crossover->execute(parents));
problem_->evaluate(offSpring[0]);
problem_->evaluateConstraints(offSpring[0]);
problem_->evaluate(offSpring[1]);
problem_->evaluateConstraints(offSpring[1]);
evaluations+=2;
offSpringPopulation->add(offSpring[0]);
offSpringPopulation->add(offSpring[1]);
}
}
SolutionSet *join = population->join(offSpringPopulation);
delete offSpringPopulation;
newPopulation = rankingAndCrowdingSelection(join,populationSize);
delete join;
if (equals(*population,*newPopulation)) {
minimumDistance--;
}
if (minimumDistance <= -convergenceValue) {
minimumDistance = (int) (1.0/size * (1-1.0/size) * size);
int preserve = (int) std::floor(preservedPopulation*populationSize);
newPopulation->clear(); //do the new in c++ really hurts me(juanjo)
population->sort(crowdingComparator);
for (int i = 0; i < preserve; i++) {
newPopulation->add(new Solution(population->get(i)));
}
for (int i = preserve; i < populationSize; i++) {
Solution * solution = new Solution(population->get(i));
cataclysmicMutation->execute(solution);
problem_->evaluate(solution);
problem_->evaluateConstraints(solution);
newPopulation->add(solution);
}
}
iterations++;
delete population;
population = newPopulation;
if (evaluations >= maxEvaluations) {
condition = true;
}
}
return population;
}
Expression* Parser::createAST(vector<Token> tokens)
{
// Create the needed stacks
stack<Operator> operatorStack;
stack<Expression*> expressionStack;
// Loop through the whole vector of tokens
// For simplicity, we use a GOTO label, since breaking or refactoring nested loops isn't so simple in C++
Label_MainLoop:
for (int i = 0; i < tokens.size(); i++)
{
// Assign the current token
Token token = tokens[i];
// If the token is a left parenthesis
if ( token.isLeftParen() )
{
// Push it onto the stack as an operator
operatorStack.push( Operator('(', 5, false) );
}
// Else if it's a right parenthesis
else if ( token.isRightParen() )
{
// Loop backwards through the stack
Operator popOp;
while ( !operatorStack.empty() )
{
// Pop off the top operator
popOp = operatorStack.top();
operatorStack.pop();
// Check if it's the matching paren
if( popOp.getSymbol() == '(' )
{
// Continue the outer for loop if it is
goto Label_MainLoop;
}
// Otherwise, add a node from the inner expression and loop again
else
{
addNode(expressionStack, popOp);
}
}
// If we get here, the stack has emptied before we found the matching paren, which is bad.
throw runtime_error("Missing a \')\' in the expression");
}
// Default case
else
{
// If the token is an operator, decide what to do with it
if ( token.isOperator() )
{
Operator o1 = token.op;
Operator o2;
while( !operatorStack.empty() ) // Not needed?? -> && operatorStack.top() != null
{
// Define o2 as the top of the stack
o2 = operatorStack.top();
// If o1 is right assoc and has the same precedence as the last op, or o1 has lower precedence
if ((!o1.isRightAssoc() && o1.comparePrecedence(o2) == 0) || o1.comparePrecedence(o2) < 0)
{
operatorStack.pop();
addNode(expressionStack, o2);
}
else
{
break;
}
}
// Push this operator onto the stack
operatorStack.push( token.op );
}
// Otherwise, if it's a number
else if ( token.isNumber() )
{
expressionStack.push( new Expression( token.number ) );
}
// The token should have been an operator or a number. How'd we get here? Throw an error
else
{
throw runtime_error("Error in building the AST. Invalid Token.");
}
}
// End for loop
}
// Finish adding nodes
while(!operatorStack.empty())
{
addNode(expressionStack, operatorStack.top());
operatorStack.pop();
}
// Will this work? Only testing will tell
return expressionStack.top();
}
/*----------------------------------------------------------------------*
| compute the preconditioner (public) m.gee 03/06|
*----------------------------------------------------------------------*/
bool MOERTEL::Mortar_ML_Preconditioner::Compute()
{
iscomputed_ = false;
MLAPI::Init();
// get parameters
int maxlevels = mlparams_.get("max levels",10);
int maxcoarsesize = mlparams_.get("coarse: max size",10);
double* nullspace = mlparams_.get("null space: vectors",(double*)NULL);
int nsdim = mlparams_.get("null space: dimension",1);
int numpde = mlparams_.get("PDE equations",1);
double damping = mlparams_.get("aggregation: damping factor",1.33);
std::string eigenanalysis = mlparams_.get("eigen-analysis: type", "Anorm");
std::string smoothertype = mlparams_.get("smoother: type","symmetric Gauss-Seidel");
std::string coarsetype = mlparams_.get("coarse: type","Amesos-KLU");
std::string ptype = mlparams_.get("prolongator: type","mod_full");
// create the missing rowmap Arrmap_
Arrmap_ = Teuchos::rcp(MOERTEL::SplitMap(A_->RowMap(),*Annmap_));
Teuchos::RCP<Epetra_Map> map1 = Arrmap_;
Teuchos::RCP<Epetra_Map> map2 = Annmap_;
// split Atilde
//
// Atilde11 Atilde12
// Atilde21 Atilde22
//
Teuchos::RCP<Epetra_CrsMatrix> Atilde11;
Teuchos::RCP<Epetra_CrsMatrix> Atilde12;
Teuchos::RCP<Epetra_CrsMatrix> Atilde21;
Teuchos::RCP<Epetra_CrsMatrix> Atilde22;
MOERTEL::SplitMatrix2x2(Atilde_,map1,map2,Atilde11,Atilde12,Atilde21,Atilde22);
// build Atildesplit
//
// Atilde11 0
// 0 I
//
Atildesplit_ = Teuchos::rcp(new Epetra_CrsMatrix(Copy,A_->RowMap(),50,false));
MOERTEL::MatrixMatrixAdd(*Atilde11,false,1.0,*Atildesplit_,0.0);
Teuchos::RCP<Epetra_CrsMatrix> tmp = Teuchos::rcp(MOERTEL::PaddedMatrix(*map2,1.0,1));
tmp->FillComplete();
MOERTEL::MatrixMatrixAdd(*tmp,false,1.0,*Atildesplit_,1.0);
Atildesplit_->FillComplete();
Atildesplit_->OptimizeStorage();
// split A
//
// A11 A12
// A21 A22
//
Teuchos::RCP<Epetra_CrsMatrix> A11;
Teuchos::RCP<Epetra_CrsMatrix> A12;
Teuchos::RCP<Epetra_CrsMatrix> A21;
Teuchos::RCP<Epetra_CrsMatrix> A22;
MOERTEL::SplitMatrix2x2(A_,map1,map2,A11,A12,A21,A22);
// build Asplit_
//
// A11 0
// 0 A22
//
Asplit_ = Teuchos::rcp(new Epetra_CrsMatrix(Copy,A_->RowMap(),50,false));
MOERTEL::MatrixMatrixAdd(*A11,false,1.0,*Asplit_,0.0);
MOERTEL::MatrixMatrixAdd(*A22,false,1.0,*Asplit_,1.0);
Asplit_->FillComplete();
Asplit_->OptimizeStorage();
// build BWT (padded to full size)
//
// 0 Mr Dinv
// 0 I
//
Teuchos::RCP<Epetra_CrsMatrix> BWT = Teuchos::rcp(MOERTEL::MatMatMult(*B_,false,*WT_,false,10));
tmp = Teuchos::rcp(MOERTEL::PaddedMatrix(BWT->RowMap(),0.0,25));
MOERTEL::MatrixMatrixAdd(*BWT,false,1.0,*tmp,0.0);
tmp->FillComplete(BWT->DomainMap(),BWT->RangeMap());
BWT = tmp;
tmp = Teuchos::null;
// split BWT to obtain M = Mr Dinv
Teuchos::RCP<Epetra_CrsMatrix> Zero11;
Teuchos::RCP<Epetra_CrsMatrix> M;
Teuchos::RCP<Epetra_CrsMatrix> Zero21;
Teuchos::RCP<Epetra_CrsMatrix> I22;
MOERTEL::SplitMatrix2x2(BWT,map1,map2,Zero11,M,Zero21,I22);
// build matrix Ahat11 = Atilde11 - M Atilde22 M^T
Teuchos::RCP<Epetra_CrsMatrix> Ahat11 = Teuchos::rcp(new Epetra_CrsMatrix(Copy,*map1,50,false));
MOERTEL::MatrixMatrixAdd(*Atilde11,false,1.0,*Ahat11,0.0);
Teuchos::RCP<Epetra_CrsMatrix> tmp1 = Teuchos::rcp(MOERTEL::MatMatMult(*Atilde22,false,*M,true,10));
Teuchos::RCP<Epetra_CrsMatrix> tmp2 = Teuchos::rcp(MOERTEL::MatMatMult(*M,false,*tmp1,false,10));
MOERTEL::MatrixMatrixAdd(*tmp2,false,-1.0,*Ahat11,1.0);
Ahat11->FillComplete();
Ahat11->OptimizeStorage();
// build matrix Ahat
//
// Ahat11 0 = Atilde11 - M Atilde22 M^T 0
// 0 0 0 0
//
Ahat_ = Teuchos::rcp(MOERTEL::PaddedMatrix(A_->RowMap(),0.0,25));
MOERTEL::MatrixMatrixAdd(*Ahat11,false,1.0,*Ahat_,0.0);
Ahat_->FillComplete();
Ahat_->OptimizeStorage();
// build mlapi objects
Space space(A_->RowMatrixRowMap());
Operator mlapiAsplit(space,space,Asplit_.get(),false);
Operator mlapiAtildesplit(space,space,Atildesplit_.get(),false);
Operator mlapiAhat(space,space,Ahat_.get(),false);
Operator mlapiBWT(space,space,BWT.get(),false);
Operator mlapiBWTcoarse;
Operator ImBWTfine = GetIdentity(space,space) - mlapiBWT;
Operator ImBWTcoarse;
Operator Ptent;
Operator P;
Operator Pmod;
Operator Rtent;
Operator R;
Operator Rmod;
Operator IminusA;
Operator C;
InverseOperator S;
mlapiAtildesplit_.resize(maxlevels);
mlapiAhat_.resize(maxlevels);
mlapiImBWT_.resize(maxlevels);
mlapiImWBT_.resize(maxlevels);
mlapiRmod_.resize(maxlevels);
mlapiPmod_.resize(maxlevels);
mlapiS_.resize(maxlevels);
mlapiAtildesplit_[0] = mlapiAtildesplit;
mlapiAhat_[0] = mlapiAhat;
mlapiImBWT_[0] = ImBWTfine;
mlapiImWBT_[0] = GetTranspose(ImBWTfine);
// build nullspace
MultiVector NS;
MultiVector NextNS;
NS.Reshape(mlapiAsplit.GetRangeSpace(),nsdim);
if (nullspace)
{
for (int i=0; i<nsdim; ++i)
for (int j=0; j<NS.GetMyLength(); ++j)
NS(j,i) = nullspace[i*NS.GetMyLength()+j];
}
else
{
if (numpde==1) NS = 1.0;
else
{
NS = 0.0;
for (int i=0; i<NS.GetMyLength(); ++i)
for (int j=0; j<numpde; ++j)
if ( i % numpde == j)
NS(i,j) = 1.0;
}
}
double lambdamax;
// construct the hierarchy
int level=0;
for (level=0; level<maxlevels-1; ++level)
{
// this level's smoothing operator
mlapiAtildesplit = mlapiAtildesplit_[level];
// build smoother
if (Comm().MyPID()==0)
{
ML_print_line("-", 78);
std::cout << "MOERTEL/ML : creating smoother level " << level << std::endl;
fflush(stdout);
}
S.Reshape(mlapiAtildesplit,smoothertype,mlparams_);
if (level) mlparams_.set("PDE equations", NS.GetNumVectors());
if (Comm().MyPID()==0)
{
ML_print_line("-", 80);
std::cout << "MOERTEL/ML : creating level " << level+1 << std::endl;
ML_print_line("-", 80);
fflush(stdout);
}
mlparams_.set("workspace: current level",level);
// get tentative prolongator based on decoupled original system
GetPtent(mlapiAsplit,mlparams_,NS,Ptent,NextNS);
NS = NextNS;
// do prolongator smoothing
if (damping)
{
if (eigenanalysis == "Anorm")
lambdamax = MaxEigAnorm(mlapiAsplit,true);
else if (eigenanalysis == "cg")
lambdamax = MaxEigCG(mlapiAsplit,true);
else if (eigenanalysis == "power-method")
lambdamax = MaxEigPowerMethod(mlapiAsplit,true);
else ML_THROW("incorrect parameter (" + eigenanalysis + ")", -1);
IminusA = GetJacobiIterationOperator(mlapiAsplit,damping/lambdamax);
P = IminusA * Ptent;
R = GetTranspose(P);
Rtent = GetTranspose(Ptent);
}
else
{
P = Ptent;
Rtent = GetTranspose(Ptent);
R = Rtent;
lambdamax = -1.0;
}
// do variational coarse grid of split original matrix Asplit
C = GetRAP(R,mlapiAsplit,P);
// compute the mortar projections on coarse grid
mlapiBWTcoarse = GetRAP(Rtent,mlapiBWT,Ptent);
ImBWTcoarse = GetIdentity(C.GetDomainSpace(),C.GetRangeSpace());
ImBWTcoarse = ImBWTcoarse - mlapiBWTcoarse;
// do modified prolongation and restriction
if (ptype=="mod_full")
Rmod = ImBWTcoarse * ( R * ImBWTfine ) + mlapiBWTcoarse * ( R * mlapiBWT );
else if (ptype=="mod_middle")
Rmod = ImBWTcoarse * ( R * ImBWTfine );
else if (ptype=="mod_simple")
Rmod = R * ImBWTfine;
else if (ptype=="original")
Rmod = R;
else
ML_THROW("incorrect parameter ( " + ptype + " )", -1);
Pmod = GetTranspose(Rmod);
// store matrix for construction of next level
mlapiAsplit = C;
// make coarse smoothing operator
// make coarse residual operator
mlapiAtildesplit_[level+1] = GetRAP(Rmod,mlapiAtildesplit,Pmod);
mlapiAhat_[level+1] = GetRAP(Rmod,mlapiAhat_[level],Pmod);
mlapiImBWT_[level] = ImBWTfine;
mlapiImBWT_[level+1] = ImBWTcoarse;
mlapiImWBT_[level] = GetTranspose(ImBWTfine);
mlapiImWBT_[level+1] = GetTranspose(ImBWTcoarse);
mlapiRmod_[level] = Rmod;
mlapiPmod_[level] = Pmod;
mlapiS_[level] = S;
// prepare for next level
mlapiBWT = mlapiBWTcoarse;
ImBWTfine = ImBWTcoarse;
// break if coarsest level is below specified size
if (mlapiAsplit.GetNumGlobalRows() <= maxcoarsesize)
{
++level;
break;
}
} // for (level=0; level<maxlevels-1; ++level)
// do coarse smoother
S.Reshape(mlapiAtildesplit_[level],coarsetype,mlparams_);
mlapiS_[level] = S;
// store max number of levels
maxlevels_ = level+1;
iscomputed_ = true;
return true;
}
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
MPI_Init(&argc,&argv);
#endif
if (argc != 2) {
fprintf(stderr, "Usage: `%s InputFile'\n", argv[0]);
fprintf(stderr, "An example of input file is reported\n");
fprintf(stderr, "in the source of this example\n");
exit(EXIT_SUCCESS);
}
string InputFile = argv[1];
// Initialize the workspace and set the output level
Init();
try {
int NumPDEEqns;
Operator A;
ReadSAMISMatrix("mtx.dat", A, NumPDEEqns);
Teuchos::ParameterList List = ReadParameterList(InputFile.c_str());
int MaxLevels = List.get("max levels", 10);
int AdditionalCandidates = List.get("additional candidates", 2);
int limKer = List.get("limit kernel", -1);
if (AdditionalCandidates == 0 && limKer == 0)
limKer = -1;
// create multilevel preconditioner, do not compute hierarchy
MultiLevelAdaptiveSA Prec(A, List, NumPDEEqns);
if (limKer) {
MultiVector NS;
ReadSAMISKernel("ker.dat", NS, limKer);
Prec.SetNullSpace(NS);
Prec.AdaptCompute(true, AdditionalCandidates);
}
else {
Prec.AdaptCompute(false, AdditionalCandidates);
}
MultiVector LHS(A.GetDomainSpace());
MultiVector RHS(A.GetRangeSpace());
LHS.Random();
RHS = 0.0;
// Set krylov: type unless specified in the config. file
if (List.isParameter("krylov: type") == 0)
List.set("krylov: type","cg_condnum");
Krylov(A, LHS, RHS, Prec, List);
Finalize();
}
catch (const int e) {
cerr << "Caught integer exception, code = " << e << endl;
}
catch (...) {
cerr << "Caught exception..." << endl;
}
#ifdef HAVE_MPI
MPI_Finalize() ;
#endif
return(0);
}
std::unique_ptr<SeqPreconditioner> constructPrecond(Operator& opA, const Dune::Amg::SequentialInformation&) const
{
const double relax = 0.9;
std::unique_ptr<SeqPreconditioner> precond(new SeqPreconditioner(opA.getmat(), relax));
return precond;
}
/*****************************************************************************************************
* show -> debug
*
****************************************************************************************************/
void Syntactic::show(){
TokenType *token = ast->getRoot();
Attrib *attrib;
TList *list;
Operator *op;
IFElse *__ift;
Each *each;
while( token ){
switch(token->getClasse()){
case ASSIGN:
attrib = (Attrib *)token;
cout<<attrib->getIdentificador()->getToken()<<endl;
cout<<attrib->getToken()<<endl;
switch(attrib->getExpression()->getClasse()){
case LIST:
list = (TList *) attrib->getExpression();
list->showItens();
break;
case OPERATOR:
op = (Operator *) attrib->getExpression();
cout<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<endl;
break;
case INTEGER:
case FLOAT:
case STRING:
cout<<attrib->getExpression()->getToken()<<endl;
break;
}
break;
case RESERVADO:
if(token->getToken() == "if"){
__ift = (IFElse *) token;
op = (Operator *) __ift->getExpression();
cout<<"if("<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<")"<<endl;
switch(__ift->getBlockIF()->getClasse()){
case ASSIGN:
attrib = (Attrib *) __ift->getBlockIF();
cout<<"{"<<attrib->getIdentificador()->getToken()<<attrib->getToken();
switch(attrib->getExpression()->getClasse()){
case LIST:
list = (TList *) attrib->getExpression();
cout<<"~(";
list->showItens();
cout<<")}"<<endl;
break;
case OPERATOR:
op = (Operator *) attrib->getExpression();
cout<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<"}"<<endl;
break;
case INTEGER:
case FLOAT:
case STRING:
cout<<attrib->getExpression()->getToken()<<"}"<<endl;
break;
}
}
if(__ift->getElseBlock()){
switch(__ift->getElseBlock()->getClasse()){
case ASSIGN:
attrib = (Attrib *) __ift->getElseBlock();
cout<<"{"<<attrib->getIdentificador()->getToken()<<attrib->getToken();
switch(attrib->getExpression()->getClasse()){
case LIST:
list = (TList *) attrib->getExpression();
cout<<"~(";
list->showItens();
cout<<")}"<<endl;
break;
case OPERATOR:
op = (Operator *) attrib->getExpression();
cout<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<"}"<<endl;
break;
case INTEGER:
case FLOAT:
case STRING:
cout<<attrib->getExpression()->getToken()<<"}"<<endl;
break;
}
}
}
}
else{
each = (Each *) token;
op = (Operator *) each->getExpression();
__ift = (IFElse *) each->getBlock();
cout<<"each("<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<")"<<endl;
cout<<"{"<<__ift->getToken();
op = (Operator *) __ift->getExpression();
cout<<"("<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<")"<<endl;
attrib = (Attrib *) __ift->getBlockIF();
cout<<"{"<<attrib->getIdentificador()->getToken()<<attrib->getToken();
op = (Operator *) attrib->getExpression();
cout<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<"}"<<endl;
attrib = (Attrib *) __ift->getElseBlock();
cout<<"else{"<<attrib->getIdentificador()->getToken()<<attrib->getToken();
op = (Operator *) attrib->getExpression();
cout<<op->getLeft()->getToken()<<op->getToken()<<op->getRight()->getToken()<<"}}";
}
}
token = token->getNext();
}
}
virtual std::string asString() { return lhs->asString() + " " + op.asString() + " " + rhs->asString(); }
// returns the output field
Field* ProtoInterpreter::sexp_to_graph(SExpr* s, AM* space, Env *env) {
V3 << "Interpret: " << ce2s(s) << " in " << ce2s(space) << endl;
if(s->isSymbol()) {
// All other symbols are looked up in the environment
CompilationElement* elt = env->lookup(dynamic_cast<SE_Symbol &>(*s).name);
if(elt==NULL) {
V4 << "Symbolic literal?\n";
ProtoType* val = symbolic_literal(dynamic_cast<SE_Symbol &>(*s).name);
if(val) { V4 << "- Yes\n"; return dfg->add_literal(val,space,s); }
return field_err(s,space,"Couldn't find definition of "+s->to_str());
} else if(elt->isA("Field")) {
V4 << "Found field: " << ce2s(elt) << endl;
Field* f = &dynamic_cast<Field &>(*elt);
if(f->domain==space) { return f;
} if(f->domain->child_of(space)) {
ierror(s,"Direct reference to child space in parent:"+ce2s(s));
} else { // implicit restriction
OI *oi = new OperatorInstance(s,Env::core_op("restrict"),space);
oi->add_input(f);
if(space->selector) oi->add_input(space->selector);
return oi->output;
}
} else if(elt->isA("Operator")) {
V4 << "Lambda literal: " << ce2s(elt) << endl;
return dfg->add_literal(new ProtoLambda(&dynamic_cast<Operator &>(*elt)),
space, s);
} else if(elt->isA("MacroSymbol")) {
V4 << "Macro: " << ce2s(elt) << endl;
return
sexp_to_graph(dynamic_cast<MacroSymbol &>(*elt).pattern,space,env);
} else return field_err(s,space,"Can't interpret "+elt->type_of()+" "+
s->to_str()+" as field");
} else if(s->isScalar()) { // Numbers are literals
V4 << "Numeric literal.\n";
return
dfg->add_literal(new ProtoScalar(dynamic_cast<SE_Scalar &>(*s).value),
space,s);
} else { // it must be a list
// Lists are special forms or function applicatios
SE_List* sl = &dynamic_cast<SE_List &>(*s);
if(sl->len()==0) return field_err(sl,space,"Expression has no members");
if(sl->op()->isSymbol()) {
// check if it's a special form
string opname = dynamic_cast<SE_Symbol &>(*sl->op()).name;
if(opname=="let") { return let_to_graph(sl,space,env,false);
} else if(opname=="let*") { return let_to_graph(sl,space,env,true);
} else if(opname=="all") { // evaluate children, returning last field
Field* last=NULL;
V4 << "Found 'all' construct\n";
for(int j=1;j<sl->len();j++) last = sexp_to_graph((*sl)[j],space,env);
return last;
} else if(opname=="restrict"){
return restrict_to_graph(sl,space,env);
} else if(opname=="def" && sl->len()==3) { // variable definition
SExpr *def=(*sl)[1], *exp=(*sl)[2];
if(!def->isSymbol())
return field_err(sl,space,"def name not a symbol: "+def->to_str());
Field* f = sexp_to_graph(exp,space,env);
env->force_bind(dynamic_cast<SE_Symbol &>(*def).name,f);
V4 << "Defined variable: " << ce2s(f) << endl;
return f;
} else if(opname=="def" || opname=="primitive" ||
opname=="lambda" || opname=="fun") {
Operator* op = sexp_to_op(s,env);
if(!(opname=="lambda" || opname=="fun")) return NULL;
return dfg->add_literal(new ProtoLambda(op),space,s);
} else if(opname=="annotate") {
SE_List_iter li(sl); li.get_next(); // make iterator, discard op
string name = li.get_token("operator name");
CE* p = env->lookup(name);
if(p==NULL) {
compile_error(sl,"Can't find primitve '"+name+"' to annotate");
} else if(!p->isA("Primitive")) {
compile_error(sl,"Can't annotate '"+name+"': not a primitive");
} else {
// add in attributes
parse_primitive_attributes(&li, &dynamic_cast<Primitive &>(*p));
}
return NULL; // annotations are like primitives: nothing returned
} else if(opname=="letfed" || opname=="letfed+") {
return letfed_to_graph(sl,space,env,opname=="letfed");
} else if(opname=="macro") {
V4 << "Defining macro\n";
sexp_to_macro(sl,env);
return NULL;
} else if(opname=="include") {
for(int j=1;j<sl->len();j++) {
SExpr *ex = (*sl)[j];
V4 << "Including file: "<<ce2s(ex)<<endl;
if(ex->isSymbol())
interpret_file(dynamic_cast<SE_Symbol &>(*ex).name);
else compile_error(ex,"File name "+ex->to_str()+" is not a symbol");
}
return NULL;
} else if(opname=="quote") {
if(sl->len()!=2)
return field_err(sl,space,"Quote requires an argument: "+s->to_str());
V4 << "Creating quote literal\n";
return dfg->add_literal(quote_to_literal_type((*sl)[1]),space,s);
} else if(opname=="quasiquote") {
return field_err(sl,space,"Quasiquote only allowed in macros: "+sl->to_str());
}
// check if it's a macro
CompilationElement* ce = env->lookup(opname);
if(ce && ce->isA("Macro")) {
V4 << "Applying macro\n";
SExpr* new_expr;
if(ce->isA("MacroOperator")) {
new_expr = expand_macro(&dynamic_cast<MacroOperator &>(*ce),sl);
if(new_expr->attributes.count("DUMMY")) // Mark of a failure
return field_err(s,space,"Macro expansion failed on "+s->to_str());
} else { // it's a MacroSymbol
new_expr = sl->copy();
dynamic_cast<SE_List &>(*new_expr).children[0]
= dynamic_cast<Macro &>(*ce).pattern;
}
return sexp_to_graph(new_expr,space,env);
}
}
// if we didn't return yet, it's an ordinary composite expression
Operator *op = sexp_to_op(sl->op(),env);
if(op->marked(":protected"))
compile_warn(op,"operator '"+op->name+"' not intended for direct use.");
OperatorInstance *oi = new OperatorInstance(s,op,space);
for(vector<SExpr*>::iterator it=sl->args(); it!=sl->children.end(); it++) {
Field* sub = sexp_to_graph(*it,space,env);
// operator defs, primitives, and macros return null & are ignored
if(sub) oi->add_input(sub);
}
if(!op->signature->legal_length(oi->inputs.size())) {
compile_error(s,"Called "+ce2s(op)+" with "+i2s(oi->inputs.size())+
" arguments; it requires "+op->signature->num_arg_str());
}
V4 << "Added operator "<<ce2s(oi)<<endl;
return oi->output;
}
ierror("Fell through sexp_to_graph w/o returning for: "+s->to_str());
}
/*
* Runs the GDE3 algorithm.
* @return a <code>SolutionSet</code> that is a set of non dominated solutions
* as a result of the algorithm execution
*/
SolutionSet * GDE3::execute() {
int populationSize;
int maxIterations;
int evaluations;
int iterations;
SolutionSet * population;
SolutionSet * offspringPopulation;
Distance * distance;
Comparator * dominance;
Operator * crossoverOperator;
Operator * selectionOperator;
distance = new Distance();
dominance = new DominanceComparator();
Solution ** parent;
//Read the parameters
populationSize = *(int *) getInputParameter("populationSize");
maxIterations = *(int *) getInputParameter("maxIterations");
//Initialize the variables
population = new SolutionSet(populationSize);
evaluations = 0;
iterations = 0;
//Read the operators
crossoverOperator = operators_["crossover"];
selectionOperator = operators_["selection"];
// Create the initial solutionSet
Solution * newSolution;
for (int i = 0; i < populationSize; i++) {
newSolution = new Solution(problem_);
problem_->evaluate(newSolution);
problem_->evaluateConstraints(newSolution);
evaluations++;
population->add(newSolution);
} //for
// Generations ...
while (iterations < maxIterations) {
// Create the offSpring solutionSet
offspringPopulation = new SolutionSet(populationSize * 2);
for (int i = 0; i < populationSize; i++){
// Obtain parents. Two parameters are required: the population and the
// index of the current individual
void ** object1 = new void*[2];
object1[0] = population;
object1[1] = &i;
parent = (Solution **) (selectionOperator->execute(object1));
delete[] object1;
Solution * child ;
// Crossover. Two parameters are required: the current individual and the
// array of parents
void ** object2 = new void*[2];
object2[0] = population->get(i);
object2[1] = parent;
child = (Solution *) (crossoverOperator->execute(object2));
delete[] object2;
delete[] parent;
problem_->evaluate(child) ;
problem_->evaluateConstraints(child);
evaluations++ ;
// Dominance test
int result ;
result = dominance->compare(population->get(i), child) ;
if (result == -1) { // Solution i dominates child
offspringPopulation->add(new Solution(population->get(i)));
delete child;
} // if
else if (result == 1) { // child dominates
offspringPopulation->add(child) ;
} // else if
else { // the two solutions are non-dominated
offspringPopulation->add(child) ;
offspringPopulation->add(new Solution(population->get(i)));
} // else
} // for
// Ranking the offspring population
Ranking * ranking = new Ranking(offspringPopulation);
int remain = populationSize;
int index = 0;
SolutionSet * front = NULL;
for (int i = 0; i < populationSize; i++) {
delete population->get(i);
}
population->clear();
// Obtain the next front
front = ranking->getSubfront(index);
while ((remain > 0) && (remain >= front->size())){
//Assign crowding distance to individuals
distance->crowdingDistanceAssignment(front,problem_->getNumberOfObjectives());
//Add the individuals of this front
for (int k = 0; k < front->size(); k++ ) {
population->add(new Solution(front->get(k)));
} // for
//Decrement remain
remain = remain - front->size();
//Obtain the next front
index++;
if (remain > 0) {
front = ranking->getSubfront(index);
} // if
} // while
// remain is less than front(index).size, insert only the best one
if (remain > 0) { // front contains individuals to insert
while (front->size() > remain) {
distance->crowdingDistanceAssignment(front,problem_->getNumberOfObjectives());
Comparator * crowdingComparator = new CrowdingComparator();
int indexWorst = front->indexWorst(crowdingComparator);
delete crowdingComparator;
delete front->get(indexWorst);
front->remove(indexWorst);
}
for (int k = 0; k < front->size(); k++) {
population->add(new Solution(front->get(k)));
}
remain = 0;
} // if
delete ranking;
delete offspringPopulation;
iterations ++ ;
} // while
delete dominance;
delete distance;
// Return the first non-dominated front
Ranking * ranking = new Ranking(population);
SolutionSet * result = new SolutionSet(ranking->getSubfront(0)->size());
for (int i=0;i<ranking->getSubfront(0)->size();i++) {
result->add(new Solution(ranking->getSubfront(0)->get(i)));
}
delete ranking;
delete population;
return result;
} // execute
bool ExpressionTreeUtils::fixExprPrecedence(Expression*& top, Expression* e)
{
if ( dynamic_cast<Value*> (e)) return false;
if ( dynamic_cast<Empty*> (e)) return false;
Operator* op = dynamic_cast<Operator*> (e);
bool more_iterations_needed = true;
while (more_iterations_needed)
{
more_iterations_needed = false;
// Fix all children
for (int operand = 0; operand < op->size(); ++operand)
more_iterations_needed = fixExprPrecedence(top, op->at(operand)) || more_iterations_needed;
}
//Look left
if (op->descriptor()->prefix().isEmpty())
{
Operator* left = dynamic_cast<Operator*> (op->first());
if (left && left->descriptor()->postfix().isEmpty())
{
if (op->descriptor()->precedence() < left->descriptor()->precedence() // Must rotate because of precedence
// Must rotate because of associativity. This assumes that the associativity of different operators at the same precedence level is the same.
|| ( (op->descriptor()->precedence() == left->descriptor()->precedence()) && op->descriptor()->associativity() == OperatorDescriptor::RightAssociative)
)
{
rotateRight(top, left, op);
return true;
}
}
}
//Look right
if (op->descriptor()->postfix().isEmpty())
{
Operator* right = dynamic_cast<Operator*> (op->last());
if (right && right->descriptor()->prefix().isEmpty())
{
if (op->descriptor()->precedence() < right->descriptor()->precedence() // Must rotate because of precedence
// Must rotate because of associativity. This assumes that the associativity of different operators at the same precedence level is the same.
|| ( (op->descriptor()->precedence() == right->descriptor()->precedence()) && op->descriptor()->associativity() == OperatorDescriptor::LeftAssociative)
)
{
rotateLeft(top, right, op);
return true;
}
}
}
return false;
}
void ExpressionTreeUtils::grow(Expression*& top, Operator* op, bool leftside)
{
bool rightside = !leftside;
// Can't grow if there is no parent
if ( !op->parent() )
return;
// Can't grow from a side where there is no delimiter
if ( (leftside && op->descriptor()->prefix().isEmpty() ) || (rightside && op->descriptor()->postfix().isEmpty()) )
return;
Operator* parent = op->parent();
// Get context
int delim_begin;
int delim_end;
op->globalDelimiterBoundaries(leftside ? 0 : op->descriptor()->numOperands(), delim_begin, delim_end);
ExpressionContext c = top->findContext(leftside ? delim_begin: delim_end);
// If this is an expression in the middle of two delimiters that belong to the same operator
// this typically means that it can not be grown any more from only a single side...
bool wrap_parent = false;
if ( ( leftside && (c.leftType() == ExpressionContext::None || c.leftType() == ExpressionContext::OpBoundary) )
|| ( rightside && (c.rightType() == ExpressionContext::None || c.rightType() == ExpressionContext::OpBoundary) )
)
{
// .. EXCEPT: when both delimiters are the same as the delimiter we're trying to grow and the
// direction opposite of the growth direction is an end delimiter. In that case we simply
// engulf the entire parent.
op->globalDelimiterBoundaries(leftside ? op->descriptor()->numOperands() : 0, delim_begin, delim_end);
ExpressionContext c_other = top->findContext(leftside ? delim_end : delim_begin );
if ( ( leftside && c_other.rightType() == ExpressionContext::OpBoundary && c_other.rightText() == op->descriptor()->postfix() && c_other.rightDelim() == c_other.rightOp()->size())
|| ( rightside && c_other.leftType() == ExpressionContext::OpBoundary && c_other.leftText() == op->descriptor()->prefix() && c_other.leftDelim() == 0) )
wrap_parent = true;
else
return;
}
// Special case when the parent ends with a pre/postfix in the direction we're growing.
// In that case we must wrap the whole operator as we can not break the delimiters.
wrap_parent = wrap_parent || ( !(leftside && parent->descriptor()->prefix().isEmpty()) && !(rightside && parent->descriptor()->postfix().isEmpty()));
if (wrap_parent)
{
Expression* placeholder = new Empty();
replace(top, parent, placeholder);
replace(top, op, leftside ? op->first(true) : op->last(true));
if (leftside) op->prepend(parent);
else op->append(parent);
delete replace(top, placeholder, op);
return;
}
// Find the expression that must be wrapped
Operator* top_op = parent;
Operator* child = op;
while ( (leftside ? top_op->last() : top_op->first()) != child)
{
child = top_op;
top_op = top_op->parent();
if (!top_op) return;
}
Expression* to_wrap = leftside ? top_op->first()->smallestRightmostSubExpr() : top_op->last()->smallestLeftmostSubExpr();
// Do the exchange --------------------------------------
// Disconnect top_op from the the entire tree and from it's first and last
// Note that if we've reached this point then first and last must be two different nodes
Expression* top_op_placeholder = new Empty();
replace(top, top_op, top_op_placeholder);
Expression* top_op_last = top_op->last(true); // Special case when rightside: top_op_last could be identical to to_wrap
Expression* top_op_first = top_op->first(true); // Special case when leftside: top_op_first could be identical to to_wrap
// Disconnect the to_wrap expression if not yet disconnected
Expression* to_wrap_placeholder = nullptr;
if ( (leftside && to_wrap != top_op_first) || (rightside && to_wrap != top_op_last) )
{
to_wrap_placeholder = new Empty();
replace(top, to_wrap, to_wrap_placeholder);
}
// Disconnect the old_wrapped expression
Expression* old_wrap = leftside ? op->first(true) : op->last(true); // This is the content that was previously wrapped
// Disconnect the left and right children of top_op.
// Make the necessary connections
if (leftside)
{
op->prepend(top_op);
top_op->prepend(to_wrap);
top_op->append(old_wrap);
//Consider the special case
if (top_op_first == to_wrap)
{
delete replace(top, top_op_placeholder, top_op_last );
}
else
{
delete replace(top, top_op_placeholder, top_op_first );
delete replace(top, to_wrap_placeholder, top_op_last);
}
}
else
{
op->append(top_op);
top_op->prepend(old_wrap);
top_op->append(to_wrap);
//Consider the special case
if (top_op_last == to_wrap)
{
delete replace(top, top_op_placeholder, top_op_first );
}
else
{
delete replace(top, top_op_placeholder, top_op_last );
delete replace(top, to_wrap_placeholder, top_op_first);
}
}
fixTop(top);
}
CostEstimation* AlgebraManager::getCostEstimation( const int algId,
const int opId,
const int funId){
Operator* op = getOperator(algId,opId);
return op?op->getCostEstimation(funId):0;
}
bool AlgebraManager::findOperator(const string& name,
const ListExpr argList,
ListExpr& resultList,
int& algId,
int& opId,
int& funId){
ListExpr typeError = nl->SymbolAtom(Symbol::TYPEERROR());
NestedList* nl_orig = NList::getNLRef();
NList::setNLRef(nl);
int mode = 0; // normal mode, search for matching arglist
string algName ="";
if(nl->HasLength(argList,2)){
if(nl->IsEqual(nl->First(argList),"algebra")
&& nl->AtomType(nl->Second(argList)==SymbolType)){
mode = 1; // search within a specific algebra
algName = nl->SymbolValue(nl->Second(argList));
stringutils::toLower(algName);
if(algName=="all"){
mode = 2; // search all algebras, return first hit
}
}
}
for(unsigned int a=0;a<algebra.size();a++){
Algebra* alg = algebra[a];
if(alg!=0){
string an = algebraNames[a];
stringutils::toLower(an);
if(mode==0 || mode==2 || an==algName){
for(int o=0; o< alg->GetNumOps(); o++){
Operator* op = alg->GetOperator(o);
if(op->GetName() == name){
if(mode==0){
try{
ListExpr res = op->CallTypeMapping(argList);
if(!nl->Equal(res,typeError)){ // appropriate operator found
algId = a;
opId = o;
funId = op->Select(argList);
resultList = res;
NList::setNLRef(nl_orig);
return true;
}
} catch (...){
cerr << "Problem in Typemapping of operator " << op->GetName()
<< " in Algebra" << GetAlgebraName(a) << endl;
cerr << "Throws an exception when called with "
<< nl->ToString(argList) << endl;
}
} else { // mode <>0
algId = a;
opId = o;
funId = 0;
resultList = nl->TheEmptyList();
NList::setNLRef(nl_orig);
return true;
}
}
}
} // fitting algebra name
}
}
algId = 0;
opId = 0;
resultList = nl->TheEmptyList();
NList::setNLRef(nl_orig);
return false;
}
