int CommonBigNum(int argc, char *const *argv) {
plan_tests(kTestTestCount);
for(int i=0; i<10; i++) {
testCreateFree();
testHexString();
testData();
testI();
testCompare();
testBitCount();
testAddSub();
testAddSubI();
testShift();
testMod();
testModI();
testModExp();
testMul();
testMulI();
testPrime();
testDiv();
testMulMod();
}
return 0;
}
int main(int argc, char *argv[])
{
ATerm bottomOfStack;
ATinit(argc, argv, &bottomOfStack);
PT_initMEPTApi();
init_terms_dict();
testCompare();
return 0;
}
bool bigfixedTest::doTests()
{
TRACE_FUNCTION();
testPrimatives();
testInitialise();
testCompare();
testAddSub ();
testShift ();
testMul ();
testDiv ();
LOGMSG (INFO, "");
LOGMSG (INFO, neo::makeString("************************************************************"));
LOGMSG (INFO, neo::makeString("** Tests complete: ", m_passed?" [PASSED] ":" [FAILED] "));
LOGMSG (INFO, neo::makeString("** Tests Passed: ", m_numPassed));
LOGMSG (INFO, neo::makeString("** Tests Failed: ", m_numFailed));
LOGMSG (INFO, neo::makeString("************************************************************"));
LOGMSG (INFO, "");
return m_passed;
}
int
test_object(int argc, char *argv[])
{
#ifdef PKIX_USER_OBJECT_TYPE
PKIX_PL_Object *obj, *obj2, *obj3, *obj4;
PKIX_UInt32 actualMinorVersion;
PKIX_UInt32 j = 0;
PKIX_TEST_STD_VARS();
startTests("Objects");
PKIX_TEST_EXPECT_NO_ERROR(
PKIX_PL_NssContext_Create(0, PKIX_FALSE, NULL, &plContext));
subTest("PKIX_PL_Object_Create");
createObjects(&obj, &obj2, &obj3, &obj4);
PKIX_TEST_EQ_HASH_TOSTR_DUP(obj, obj3, obj2, NULL, Object, PKIX_FALSE);
subTest("PKIX_PL_Object_GetType");
testGetType(obj, obj2, obj3);
subTest("PKIX_PL_Object_Compare");
testCompare(obj2, obj4);
subTest("PKIX_PL_Object_Destroy");
testDestroy(obj, obj2, obj3, obj4);
cleanup:
PKIX_Shutdown(plContext);
endTests("Objects");
#endif /* PKIX_USER_OBJECT_TYPE */
return (0);
}
int main(int argc, char *argv[])
{
int n = 100;
double alpha = 0.0;
double beta = 0.0;
double scale = 1.0;
int maxNewtonIters = 20;
int ierr = 0;
alpha = alpha / scale;
try {
bool verbose = false;
// Check for verbose output
if (argc>1)
if (argv[1][0]=='-' && argv[1][1]=='v')
verbose = true;
// Create parameter list
Teuchos::RCP<Teuchos::ParameterList> paramList =
Teuchos::rcp(new Teuchos::ParameterList);
// Create LOCA sublist
Teuchos::ParameterList& locaParamsList = paramList->sublist("LOCA");
// Create the stepper sublist and set the stepper parameters
Teuchos::ParameterList& stepperList = locaParamsList.sublist("Stepper");
stepperList.set("Continuation Parameter", "alpha");
stepperList.set("Initial Value", alpha);
stepperList.set("Max Value", 5.0/scale);
stepperList.set("Min Value", 0.0/scale);
stepperList.set("Max Steps", 50);
stepperList.set("Max Nonlinear Iterations", maxNewtonIters);
// Create step size sublist
Teuchos::ParameterList& stepSizeList = locaParamsList.sublist("Step Size");
stepSizeList.set("Initial Step Size", 0.1/scale);
stepSizeList.set("Min Step Size", 1.0e-3/scale);
stepSizeList.set("Max Step Size", 10.0/scale);
// Create the "Solver" parameters sublist to be used with NOX Solvers
Teuchos::ParameterList& nlParams = paramList->sublist("NOX");
Teuchos::ParameterList& nlPrintParams = nlParams.sublist("Printing");
if (verbose)
nlPrintParams.set("Output Information",
NOX::Utils::Error +
NOX::Utils::Details +
NOX::Utils::OuterIteration +
NOX::Utils::InnerIteration +
NOX::Utils::Warning +
NOX::Utils::TestDetails +
NOX::Utils::StepperIteration +
NOX::Utils::StepperDetails +
NOX::Utils::StepperParameters);
else
nlPrintParams.set("Output Information", NOX::Utils::Error);
// Create global data object
Teuchos::RCP<LOCA::GlobalData> globalData =
LOCA::createGlobalData(paramList);
// Set up the problem interface
ChanProblemInterface chan(globalData, n, alpha, beta, scale);
LOCA::ParameterVector p;
p.addParameter("alpha",alpha);
p.addParameter("beta",beta);
p.addParameter("scale",scale);
// Create a group which uses that problem interface. The group will
// be initialized to contain the default initial guess for the
// specified problem.
Teuchos::RCP<LOCA::MultiContinuation::AbstractGroup> grp =
Teuchos::rcp(new LOCA::LAPACK::Group(globalData, chan));
grp->setParams(p);
// Set up the status tests
Teuchos::RCP<NOX::StatusTest::NormF> normF =
Teuchos::rcp(new NOX::StatusTest::NormF(1.0e-8));
Teuchos::RCP<NOX::StatusTest::MaxIters> maxIters =
Teuchos::rcp(new NOX::StatusTest::MaxIters(maxNewtonIters));
Teuchos::RCP<NOX::StatusTest::Generic> comboOR =
Teuchos::rcp(new NOX::StatusTest::Combo(NOX::StatusTest::Combo::OR,
normF,
maxIters));
// Create the stepper
LOCA::Stepper stepper(globalData, grp, comboOR, paramList);
// Perform continuation run
LOCA::Abstract::Iterator::IteratorStatus status = stepper.run();
// Check for convergence
if (status != LOCA::Abstract::Iterator::Finished) {
ierr = 1;
if (globalData->locaUtils->isPrintType(NOX::Utils::Error))
globalData->locaUtils->out()
<< "Stepper failed to converge!" << std::endl;
}
// Get the final solution from the stepper
Teuchos::RCP<const LOCA::LAPACK::Group> finalGroup =
Teuchos::rcp_dynamic_cast<const LOCA::LAPACK::Group>(stepper.getSolutionGroup());
const NOX::LAPACK::Vector& finalSolution =
dynamic_cast<const NOX::LAPACK::Vector&>(finalGroup->getX());
// Output the parameter list
if (globalData->locaUtils->isPrintType(NOX::Utils::StepperParameters)) {
globalData->locaUtils->out()
<< std::endl << "Final Parameters" << std::endl
<< "****************" << std::endl;
stepper.getList()->print(globalData->locaUtils->out());
globalData->locaUtils->out() << std::endl;
}
// Check some statistics on the solution
NOX::TestCompare testCompare(globalData->locaUtils->out(),
*(globalData->locaUtils));
if (globalData->locaUtils->isPrintType(NOX::Utils::TestDetails))
globalData->locaUtils->out()
<< std::endl
<< "***** Checking solution statistics *****"
<< std::endl;
// Check number of steps
int numSteps = stepper.getStepNumber();
int numSteps_expected = 32;
ierr += testCompare.testValue(numSteps, numSteps_expected, 0.0,
"number of continuation steps",
NOX::TestCompare::Absolute);
// Check number of failed steps
int numFailedSteps = stepper.getNumFailedSteps();
int numFailedSteps_expected = 0;
ierr += testCompare.testValue(numFailedSteps, numFailedSteps_expected, 0.0,
"number of failed continuation steps",
NOX::TestCompare::Absolute);
// Check final value of continuation parameter
double alpha_final = finalGroup->getParam("alpha");
double alpha_expected = 5.0;
ierr += testCompare.testValue(alpha_final, alpha_expected, 1.0e-14,
"final value of continuation parameter",
NOX::TestCompare::Relative);
// Check norm of solution
double norm_x = finalSolution.norm();
double norm_x_expected = 203.1991024;
ierr += testCompare.testValue(norm_x, norm_x_expected, 1.0e-7,
"norm of final solution",
NOX::TestCompare::Relative);
LOCA::destroyGlobalData(globalData);
}
catch (std::exception& e) {
cout << e.what() << endl;
ierr = 1;
}
catch (const char *s) {
cout << s << endl;
ierr = 1;
}
catch (...) {
cout << "Caught unknown exception!" << endl;
ierr = 1;
}
if (ierr == 0)
cout << "All tests passed!" << endl;
else
cout << ierr << " test(s) failed!" << endl;
return ierr;
}
int main(int argc, char *argv[])
{
int ierr = 0;
int MyPID = 0;
double alpha = 0.25;
double beta = 1.5;
double D1 = 1.0/40.0;
double D2 = 1.0/40.0;
int maxNewtonIters = 10;
try {
// Initialize MPI
#ifdef HAVE_MPI
MPI_Init(&argc,&argv);
#endif
// Create a communicator for Epetra objects
#ifdef HAVE_MPI
Epetra_MpiComm Comm( MPI_COMM_WORLD );
#else
Epetra_SerialComm Comm;
#endif
// Get the process ID and the total number of processors
MyPID = Comm.MyPID();
int NumProc = Comm.NumProc();
// Check for verbose output
bool verbose = false;
if (argc>1)
if (argv[1][0]=='-' && argv[1][1]=='v')
verbose = true;
// Get the number of elements from the command line
int NumGlobalNodes = 0;
if ((argc > 2) && (verbose))
NumGlobalNodes = atoi(argv[2]) + 1;
else if ((argc > 1) && (!verbose))
NumGlobalNodes = atoi(argv[1]) + 1;
else
NumGlobalNodes = 101;
// The number of unknowns must be at least equal to the
// number of processors.
if (NumGlobalNodes < NumProc) {
std::cout << "numGlobalNodes = " << NumGlobalNodes
<< " cannot be < number of processors = " << NumProc
<< std::endl;
exit(1);
}
// Create the Brusselator problem class. This creates all required
// Epetra objects for the problem and allows calls to the
// function (F) and Jacobian evaluation routines.
Brusselator Problem(NumGlobalNodes, Comm);
// Get the vector from the Problem
Epetra_Vector& soln = Problem.getSolution();
// Begin LOCA Solver ************************************
// Create the top level parameter list
Teuchos::RCP<Teuchos::ParameterList> paramList =
Teuchos::rcp(new Teuchos::ParameterList);
// Create LOCA sublist
Teuchos::ParameterList& locaParamsList = paramList->sublist("LOCA");
// Create the stepper sublist and set the stepper parameters
Teuchos::ParameterList& stepperList = locaParamsList.sublist("Stepper");
stepperList.set("Bordered Solver Method", "Householder");
stepperList.set("Continuation Parameter", "beta");
stepperList.set("Initial Value", beta);
stepperList.set("Max Value", 1.6);
stepperList.set("Min Value", 0.0);
stepperList.set("Max Steps", 100);
stepperList.set("Max Nonlinear Iterations", maxNewtonIters);
#ifdef HAVE_LOCA_ANASAZI
// Create Anasazi Eigensolver sublist (needs --with-loca-anasazi)
stepperList.set("Compute Eigenvalues",true);
Teuchos::ParameterList& aList = stepperList.sublist("Eigensolver");
aList.set("Method", "Anasazi");
if (!verbose)
aList.set("Verbosity", Anasazi::Errors);
aList.set("Block Size", 1); // Size of blocks
aList.set("Num Blocks", 50); // Size of Arnoldi factorization
aList.set("Num Eigenvalues", 3); // Number of eigenvalues
aList.set("Convergence Tolerance", 1.0e-7); // Tolerance
aList.set("Step Size", 1); // How often to check convergence
aList.set("Maximum Restarts",1); // Maximum number of restarts
aList.set("Operator", "Cayley");
aList.set("Cayley Pole", 0.1);
aList.set("Cayley Zero", -0.1);
aList.set("Sorting Order", "CA");
#else
stepperList.set("Compute Eigenvalues",false);
#endif
// Create predictor sublist
Teuchos::ParameterList& predictorList =
locaParamsList.sublist("Predictor");
predictorList.set("Method", "Constant");
// Create step size sublist
Teuchos::ParameterList& stepSizeList = locaParamsList.sublist("Step Size");
stepSizeList.set("Initial Step Size", 0.01);
stepSizeList.set("Min Step Size", 1.0e-3);
stepSizeList.set("Max Step Size", 0.01);
stepSizeList.set("Aggressiveness", 0.1);
// Create the "Solver" parameters sublist to be used with NOX Solvers
Teuchos::ParameterList& nlParams = paramList->sublist("NOX");
// Set the printing parameters in the "Printing" sublist
Teuchos::ParameterList& printParams = nlParams.sublist("Printing");
printParams.set("MyPID", MyPID);
printParams.set("Output Precision", 3);
printParams.set("Output Processor", 0);
if (verbose)
printParams.set("Output Information",
NOX::Utils::OuterIteration +
NOX::Utils::OuterIterationStatusTest +
NOX::Utils::InnerIteration +
NOX::Utils::Details +
NOX::Utils::Warning +
NOX::Utils::TestDetails +
NOX::Utils::Error +
NOX::Utils::StepperIteration +
NOX::Utils::StepperDetails +
NOX::Utils::StepperParameters);
else
printParams.set("Output Information", NOX::Utils::Error);
// Sublist for "Linear Solver"
Teuchos::ParameterList& dirParams = nlParams.sublist("Direction");
Teuchos::ParameterList& newtonParams = dirParams.sublist("Newton");
Teuchos::ParameterList& lsParams = newtonParams.sublist("Linear Solver");
lsParams.set("Aztec Solver", "GMRES");
lsParams.set("Max Iterations", 800);
lsParams.set("Tolerance", 1e-6);
lsParams.set("Output Frequency", 50);
lsParams.set("Preconditioner", "Ifpack");
// Create the interface between the test problem and the nonlinear solver
Teuchos::RCP<Problem_Interface> interface =
Teuchos::rcp(new Problem_Interface(Problem));
// Create the Epetra_RowMatrixfor the Jacobian/Preconditioner
Teuchos::RCP<Epetra_RowMatrix> A =
Teuchos::rcp(&Problem.getJacobian(),false);
// Use an Epetra Scaling object if desired
Teuchos::RCP<Epetra_Vector> scaleVec =
Teuchos::rcp(new Epetra_Vector(soln));
NOX::Epetra::Scaling scaling;
scaling.addRowSumScaling(NOX::Epetra::Scaling::Left, scaleVec);
Teuchos::RCP<LOCA::Epetra::Interface::Required> iReq = interface;
// Create the Linear System
Teuchos::RCP<NOX::Epetra::Interface::Jacobian> iJac = interface;
Teuchos::RCP<NOX::Epetra::LinearSystemAztecOO> linSys =
Teuchos::rcp(new NOX::Epetra::LinearSystemAztecOO(printParams, lsParams,
iReq, iJac, A, soln));
//&scaling);
Teuchos::RCP<NOX::Epetra::LinearSystemAztecOO> shiftedLinSys =
Teuchos::rcp(new NOX::Epetra::LinearSystemAztecOO(printParams, lsParams,
iReq, iJac, A, soln));
// Create initial guess
NOX::Epetra::Vector initialGuess(Teuchos::rcp(&soln,false),
NOX::Epetra::Vector::CreateView,
NOX::DeepCopy);
// Create and initialize the parameter vector
LOCA::ParameterVector pVector;
pVector.addParameter("alpha",alpha);
pVector.addParameter("beta",beta);
pVector.addParameter("D1",D1);
pVector.addParameter("D2",D2);
// Create Epetra factory
Teuchos::RCP<LOCA::Abstract::Factory> epetraFactory =
Teuchos::rcp(new LOCA::Epetra::Factory);
// Create global data object
Teuchos::RCP<LOCA::GlobalData> globalData =
LOCA::createGlobalData(paramList, epetraFactory);
// Create the Group
Teuchos::RCP<LOCA::Epetra::Interface::TimeDependent> iTime = interface;
Teuchos::RCP<LOCA::Epetra::Group> grp =
Teuchos::rcp(new LOCA::Epetra::Group(globalData, printParams,
iTime, initialGuess, linSys,
shiftedLinSys, pVector));
grp->computeF();
// Create the convergence tests
Teuchos::RCP<NOX::StatusTest::NormF> absresid =
Teuchos::rcp(new NOX::StatusTest::NormF(1.0e-8,
NOX::StatusTest::NormF::Unscaled));
Teuchos::RCP<NOX::StatusTest::MaxIters> maxiters =
Teuchos::rcp(new NOX::StatusTest::MaxIters(maxNewtonIters));
Teuchos::RCP<NOX::StatusTest::Combo> combo =
Teuchos::rcp(new NOX::StatusTest::Combo(NOX::StatusTest::Combo::OR));
combo->addStatusTest(absresid);
combo->addStatusTest(maxiters);
// Create stepper
LOCA::Stepper stepper(globalData, grp, combo, paramList);
LOCA::Abstract::Iterator::IteratorStatus status = stepper.run();
if (status != LOCA::Abstract::Iterator::Finished) {
ierr = 1;
if (globalData->locaUtils->isPrintType(NOX::Utils::Error))
globalData->locaUtils->out()
<< "Stepper failed to converge!" << std::endl;
}
// Get the final solution from the stepper
Teuchos::RCP<const LOCA::Epetra::Group> finalGroup =
Teuchos::rcp_dynamic_cast<const LOCA::Epetra::Group>(stepper.getSolutionGroup());
const NOX::Epetra::Vector& finalSolution =
dynamic_cast<const NOX::Epetra::Vector&>(finalGroup->getX());
// Output the parameter list
if (globalData->locaUtils->isPrintType(NOX::Utils::StepperParameters)) {
globalData->locaUtils->out()
<< std::endl << "Final Parameters" << std::endl
<< "****************" << std::endl;
stepper.getList()->print(globalData->locaUtils->out());
globalData->locaUtils->out() << std::endl;
}
// Check some statistics on the solution
NOX::TestCompare testCompare(globalData->locaUtils->out(),
*(globalData->locaUtils));
if (globalData->locaUtils->isPrintType(NOX::Utils::TestDetails))
globalData->locaUtils->out()
<< std::endl
<< "***** Checking solution statistics *****"
<< std::endl;
// Check number of continuation steps
int numSteps = stepper.getStepNumber();
int numSteps_expected = 11;
ierr += testCompare.testValue(numSteps, numSteps_expected, 0.0,
"number of continuation steps",
NOX::TestCompare::Absolute);
// Check number of failed steps
int numFailedSteps = stepper.getNumFailedSteps();
int numFailedSteps_expected = 0;
ierr += testCompare.testValue(numFailedSteps, numFailedSteps_expected, 0.0,
"number of failed continuation steps",
NOX::TestCompare::Absolute);
// Check final value of continuation parameter
double beta_final = finalGroup->getParam("beta");
double beta_expected = 1.6;
ierr += testCompare.testValue(beta_final, beta_expected, 1.0e-14,
"final value of continuation parameter",
NOX::TestCompare::Relative);
// Check final of solution
NOX::Epetra::Vector final_x_expected(finalSolution);
int n = final_x_expected.getEpetraVector().MyLength()/2;
for (int i=0; i<n; i++) {
final_x_expected.getEpetraVector()[2*i] = alpha;
final_x_expected.getEpetraVector()[2*i+1] = beta_final/alpha;
}
ierr += testCompare.testVector(finalSolution, final_x_expected,
1.0e-6, 1.0e-6,
"value of final solution");
LOCA::destroyGlobalData(globalData);
}
catch (std::exception& e) {
std::cout << e.what() << std::endl;
ierr = 1;
}
catch (const char *s) {
std::cout << s << std::endl;
ierr = 1;
}
catch (...) {
std::cout << "Caught unknown exception!" << std::endl;
ierr = 1;
}
if (MyPID == 0) {
if (ierr == 0)
std::cout << "All tests passed!" << std::endl;
else
std::cout << ierr << " test(s) failed!" << std::endl;
}
#ifdef HAVE_MPI
MPI_Finalize() ;
#endif
return ierr;
}
int main()
{
testCompare();
return 0;
}
void run ()
{
testParse ();
testValues ();
testCompare ();
}
int main(int argc, char *argv[])
{
int n = 10;
int ierr = 0;
double reltol = 1.0e-14;
double abstol = 1.0e-14;
int MyPID = 0;
try {
// Initialize MPI
#ifdef HAVE_MPI
MPI_Init(&argc,&argv);
#endif
// Create a communicator for Epetra objects
#ifdef HAVE_MPI
Epetra_MpiComm Comm( MPI_COMM_WORLD );
#else
Epetra_SerialComm Comm;
#endif
MyPID = Comm.MyPID();
// Create the map
Epetra_Map map(n, 0, Comm);
bool verbose = false;
// Check for verbose output
if (argc>1)
if (argv[1][0]=='-' && argv[1][1]=='v')
verbose = true;
// Seed the random number generator in Teuchos. We create random
// bordering matrices and it is possible different processors might generate
// different matrices. By setting the seed, this shouldn't happen.
Teuchos::ScalarTraits<double>::seedrandom(12345);
// Create and initialize the parameter vector
LOCA::ParameterVector pVector;
pVector.addParameter("Param 1", 1.69);
pVector.addParameter("Param 2", -9.7);
pVector.addParameter("Param 3", 0.35);
pVector.addParameter("Param 4", -0.78);
pVector.addParameter("Param 5", 2.53);
// Create parameter list
Teuchos::RCP<Teuchos::ParameterList> paramList =
Teuchos::rcp(new Teuchos::ParameterList);
Teuchos::ParameterList& nlParams = paramList->sublist("NOX");
Teuchos::ParameterList& nlPrintParams = nlParams.sublist("Printing");
nlPrintParams.set("MyPID", MyPID);
if (verbose)
nlPrintParams.set("Output Information",
NOX::Utils::Error +
NOX::Utils::Details +
NOX::Utils::OuterIteration +
NOX::Utils::InnerIteration +
NOX::Utils::Warning +
NOX::Utils::TestDetails +
NOX::Utils::StepperIteration +
NOX::Utils::StepperDetails);
else
nlPrintParams.set("Output Information", NOX::Utils::Error);
// Create global data object
Teuchos::RCP<LOCA::GlobalData> globalData =
LOCA::createGlobalData(paramList);
Epetra_Vector clone_vec(map);
NOX::Epetra::Vector nox_clone_vec(clone_vec);
Teuchos::RCP<NOX::Abstract::Vector> x =
nox_clone_vec.clone(NOX::ShapeCopy);
x->random();
Teuchos::RCP<NOX::Abstract::MultiVector> dx1 =
nox_clone_vec.createMultiVector(3);
Teuchos::RCP<NOX::Abstract::MultiVector> dx2 =
nox_clone_vec.createMultiVector(1);
Teuchos::RCP<NOX::Abstract::MultiVector> dx3 =
nox_clone_vec.createMultiVector(2);
Teuchos::RCP<NOX::Abstract::MultiVector> dx4 =
nox_clone_vec.createMultiVector(2);
dx1->random();
dx2->random();
dx3->init(0.0);
dx4->random();
Teuchos::RCP<NOX::Abstract::MultiVector> dx_all =
dx1->clone(NOX::DeepCopy);
dx_all->augment(*dx2);
dx_all->augment(*dx3);
dx_all->augment(*dx4);
NOX::Abstract::MultiVector::DenseMatrix dp1(dx1->numVectors(),
pVector.length());
NOX::Abstract::MultiVector::DenseMatrix dp2(dx2->numVectors(),
pVector.length());
NOX::Abstract::MultiVector::DenseMatrix dp3(dx3->numVectors(),
pVector.length());
NOX::Abstract::MultiVector::DenseMatrix dp4(dx4->numVectors(),
pVector.length());
dp1.random();
dp2.random();
dp3.random();
dp4.random();
NOX::Abstract::MultiVector::DenseMatrix dp_all(dx_all->numVectors(),
pVector.length());
for (int j=0; j<dp_all.numCols(); j++) {
for (int i=0; i<dp1.numRows(); i++)
dp_all(i,j) = dp1(i,j);
for (int i=0; i<dp2.numRows(); i++)
dp_all(dp1.numRows()+i,j) = dp2(i,j);
for (int i=0; i<dp3.numRows(); i++)
dp_all(dp1.numRows()+dp2.numRows()+i,j) = dp3(i,j);
for (int i=0; i<dp4.numRows(); i++)
dp_all(dp1.numRows()+dp2.numRows()+dp3.numRows()+i,j) = dp4(i,j);
}
std::vector< Teuchos::RCP<LOCA::MultiContinuation::ConstraintInterface> > constraintObjs(4);
Teuchos::RCP<LinearConstraint> linear_constraint;
linear_constraint = Teuchos::rcp(new LinearConstraint(dx1->numVectors(),
pVector,
nox_clone_vec));
linear_constraint->setDgDx(*dx1);
linear_constraint->setDgDp(dp1);
linear_constraint->setIsZeroDX(false);
constraintObjs[0] = linear_constraint;
linear_constraint = Teuchos::rcp(new LinearConstraint(dx2->numVectors(),
pVector,
nox_clone_vec));
linear_constraint->setDgDx(*dx2);
linear_constraint->setDgDp(dp2);
linear_constraint->setIsZeroDX(false);
constraintObjs[1] = linear_constraint;
linear_constraint = Teuchos::rcp(new LinearConstraint(dx3->numVectors(),
pVector,
nox_clone_vec));
linear_constraint->setDgDx(*dx3);
linear_constraint->setDgDp(dp3);
linear_constraint->setIsZeroDX(true);
constraintObjs[2] = linear_constraint;
linear_constraint = Teuchos::rcp(new LinearConstraint(dx4->numVectors(),
pVector,
nox_clone_vec));
linear_constraint->setDgDx(*dx4);
linear_constraint->setDgDp(dp4);
linear_constraint->setIsZeroDX(false);
constraintObjs[3] = linear_constraint;
// Check some statistics on the solution
NOX::TestCompare testCompare(globalData->locaUtils->out(),
*(globalData->locaUtils));
LOCA::MultiContinuation::CompositeConstraint composite(globalData,
constraintObjs);
composite.setX(*x);
LinearConstraint combined(dx_all->numVectors(), pVector, nox_clone_vec);
combined.setDgDx(*dx_all);
combined.setDgDp(dp_all);
combined.setX(*x);
//
// test computeConstraints()
//
composite.computeConstraints();
combined.computeConstraints();
int numConstraints = dx_all->numVectors();
const NOX::Abstract::MultiVector::DenseMatrix& g_composite =
composite.getConstraints();
const NOX::Abstract::MultiVector::DenseMatrix& g_combined =
combined.getConstraints();
ierr += testCompare.testMatrix(
g_composite, g_combined, reltol, abstol,
"CompositeConstraint::computeConstraints()");
//
// test computeDP()
//
std::vector<int> paramIDs(3);
paramIDs[0] = 1;
paramIDs[1] = 2;
paramIDs[2] = 4;
NOX::Abstract::MultiVector::DenseMatrix dgdp_composite(
numConstraints,
paramIDs.size()+1);
NOX::Abstract::MultiVector::DenseMatrix dgdp_combined(
numConstraints,
paramIDs.size()+1);
dgdp_composite.putScalar(0.0);
dgdp_combined.putScalar(0.0);
composite.computeDP(paramIDs, dgdp_composite, false);
combined.computeDP(paramIDs, dgdp_combined, false);
ierr += testCompare.testMatrix(
dgdp_composite, dgdp_combined, reltol, abstol,
"CompositeConstraint::computeDP()");
//
// test multiplyDX()
//
composite.computeDX();
combined.computeDX();
int numMultiply = 5;
Teuchos::RCP<NOX::Abstract::MultiVector> A =
nox_clone_vec.createMultiVector(numMultiply);
A->random();
NOX::Abstract::MultiVector::DenseMatrix composite_multiply(numConstraints,
numMultiply);
NOX::Abstract::MultiVector::DenseMatrix combined_multiply(numConstraints,
numMultiply);
composite.multiplyDX(2.65, *A, composite_multiply);
combined.multiplyDX(2.65, *A, combined_multiply);
ierr += testCompare.testMatrix(composite_multiply, combined_multiply,
reltol, abstol,
"CompositeConstraint::multiplyDX()");
//
// test addDX() (No Trans)
//
int numAdd = 5;
NOX::Abstract::MultiVector::DenseMatrix B1(numConstraints, numAdd);
B1.random();
NOX::Abstract::MultiVector::DenseMatrix B2(numAdd, numConstraints);
B2.random();
Teuchos::RCP<NOX::Abstract::MultiVector> composite_add1 =
nox_clone_vec.createMultiVector(numAdd);
composite_add1->random();
Teuchos::RCP<NOX::Abstract::MultiVector> composite_add2 =
nox_clone_vec.createMultiVector(numAdd);
composite_add2->random();
Teuchos::RCP<NOX::Abstract::MultiVector> combined_add1 =
composite_add1->clone(NOX::DeepCopy);
Teuchos::RCP<NOX::Abstract::MultiVector> combined_add2 =
composite_add2->clone(NOX::DeepCopy);
composite.addDX(Teuchos::NO_TRANS, 1.45, B1, 2.78, *composite_add1);
combined.addDX(Teuchos::NO_TRANS, 1.45, B1, 2.78, *combined_add1);
ierr += testCompare.testMultiVector(
*composite_add1, *combined_add1,
reltol, abstol,
"CompositeConstraint::addDX() (No Trans)");
//
// test addDX() (Trans)
//
composite.addDX(Teuchos::TRANS, 1.45, B2, 2.78, *composite_add2);
combined.addDX(Teuchos::TRANS, 1.45, B2, 2.78, *combined_add2);
ierr += testCompare.testMultiVector(
*composite_add2, *combined_add2,
reltol, abstol,
"CompositeConstraint::addDX() (Trans)");
LOCA::destroyGlobalData(globalData);
}
catch (std::exception& e) {
std::cout << e.what() << std::endl;
ierr = 1;
}
catch (const char *s) {
std::cout << s << std::endl;
ierr = 1;
}
catch (...) {
std::cout << "Caught unknown exception!" << std::endl;
ierr = 1;
}
if (MyPID == 0) {
if (ierr == 0)
std::cout << "All tests passed!" << std::endl;
else
std::cout << ierr << " test(s) failed!" << std::endl;
}
#ifdef HAVE_MPI
MPI_Finalize() ;
#endif
return ierr;
}
int main(int argc, char *argv[])
{
Teuchos::GlobalMPISession mpi_session(&argc, &argv);
int n = 100;
double alpha = 0.0;
double beta = 0.0;
double scale = 1.0;
int ierr = 0;
int nev = 10;
int narn = 20;
double arntol = 1.0e-12;
alpha = alpha / scale;
try {
bool verbose = false;
// Check for verbose output
if (argc>1)
if (argv[1][0]=='-' && argv[1][1]=='v')
verbose = true;
// Create parameter list
Teuchos::RCP<Teuchos::ParameterList> paramList =
Teuchos::rcp(new Teuchos::ParameterList);
// Create LOCA sublist
Teuchos::ParameterList& locaParamsList = paramList->sublist("LOCA");
// Create the stepper sublist and set the stepper parameters
Teuchos::ParameterList& stepperList = locaParamsList.sublist("Stepper");
// Create Anasazi Eigensolver sublist (needs --with-loca-anasazi)
Teuchos::ParameterList& aList = stepperList.sublist("Eigensolver");
aList.set("Method", "Anasazi");
aList.set("Operator", "Jacobian Inverse");
aList.set("Block Size", 1);
aList.set("Num Blocks", narn);
aList.set("Num Eigenvalues", nev);
aList.set("Convergence Tolerance", arntol);
aList.set("Step Size", 1);
aList.set("Maximum Restarts",2);
aList.set("Sorting Order","LM");
if (verbose)
aList.set("Debug Level",
Anasazi::Errors +
Anasazi::Warnings +
Anasazi::FinalSummary);
else
aList.set("Debug Level", Anasazi::Errors);
// Create the "Solver" parameters sublist to be used with NOX Solvers
Teuchos::ParameterList& nlParams = paramList->sublist("NOX");
Teuchos::ParameterList& nlPrintParams = nlParams.sublist("Printing");
if (verbose)
nlPrintParams.set("Output Information",
NOX::Utils::Error +
NOX::Utils::Details +
NOX::Utils::OuterIteration +
NOX::Utils::InnerIteration +
NOX::Utils::Warning +
NOX::Utils::TestDetails +
NOX::Utils::StepperIteration +
NOX::Utils::StepperDetails);
else
nlPrintParams.set("Output Information", NOX::Utils::Error);
// Create LAPACK factory
Teuchos::RCP<LOCA::Abstract::Factory> lapackFactory =
Teuchos::rcp(new LOCA::LAPACK::Factory);
// Create global data object
Teuchos::RCP<LOCA::GlobalData> globalData =
LOCA::createGlobalData(paramList, lapackFactory);
// Create parsed parameter list
Teuchos::RCP<LOCA::Parameter::SublistParser> parsedParams =
Teuchos::rcp(new LOCA::Parameter::SublistParser(globalData));
parsedParams->parseSublists(paramList);
// Set up the problem interface
ChanProblemInterface chan(globalData, n, alpha, beta, scale);
LOCA::ParameterVector p;
p.addParameter("alpha",alpha);
p.addParameter("beta",beta);
p.addParameter("scale",scale);
// Create a group which uses that problem interface. The group will
// be initialized to contain the default initial guess for the
// specified problem.
LOCA::LAPACK::Group grp(globalData, chan);
grp.setParams(p);
grp.computeF();
grp.computeJacobian();
// Create Anasazi eigensolver
Teuchos::RCP<LOCA::Eigensolver::AbstractStrategy> anasaziStrategy
= globalData->locaFactory->createEigensolverStrategy(
parsedParams,
parsedParams->getSublist("Eigensolver"));
Teuchos::RCP< std::vector<double> > anasazi_evals_r;
Teuchos::RCP< std::vector<double> > anasazi_evals_i;
Teuchos::RCP< NOX::Abstract::MultiVector > anasazi_evecs_r;
Teuchos::RCP< NOX::Abstract::MultiVector > anasazi_evecs_i;
NOX::Abstract::Group::ReturnType anasaziStatus =
anasaziStrategy->computeEigenvalues(grp,
anasazi_evals_r,
anasazi_evals_i,
anasazi_evecs_r,
anasazi_evecs_i);
if (anasaziStatus != NOX::Abstract::Group::Ok)
++ierr;
// Change strategy to DGGEV
aList.set("Method", "DGGEV");
aList.set("Sorting Order","SM");
// Create DGGEV eigensolver
Teuchos::RCP<LOCA::Eigensolver::AbstractStrategy> dggevStrategy
= globalData->locaFactory->createEigensolverStrategy(
parsedParams,
parsedParams->getSublist("Eigensolver"));
Teuchos::RCP< std::vector<double> > dggev_evals_r;
Teuchos::RCP< std::vector<double> > dggev_evals_i;
Teuchos::RCP< NOX::Abstract::MultiVector > dggev_evecs_r;
Teuchos::RCP< NOX::Abstract::MultiVector > dggev_evecs_i;
NOX::Abstract::Group::ReturnType dggevStatus =
dggevStrategy->computeEigenvalues(grp,
dggev_evals_r,
dggev_evals_i,
dggev_evecs_r,
dggev_evecs_i);
if (dggevStatus != NOX::Abstract::Group::Ok)
++ierr;
// Check some statistics on the solution
NOX::TestCompare testCompare(globalData->locaUtils->out(),
*(globalData->locaUtils));
if (globalData->locaUtils->isPrintType(NOX::Utils::TestDetails))
globalData->locaUtils->out()
<< std::endl
<< "***** Checking solution statistics *****"
<< std::endl;
// Check eigenvalues
for (int i=0; i<nev; i++) {
std::stringstream sstr;
sstr << "Eigenvalue " << i;
ierr += testCompare.testValue((*anasazi_evals_r)[i],
(*dggev_evals_r)[i], arntol*1e3,
sstr.str(),
NOX::TestCompare::Relative);
}
LOCA::destroyGlobalData(globalData);
}
catch (std::exception& e) {
std::cout << e.what() << std::endl;
ierr = 1;
}
catch (const char *s) {
std::cout << s << std::endl;
ierr = 1;
}
catch (...) {
std::cout << "Caught unknown exception!" << std::endl;
ierr = 1;
}
if (ierr == 0)
std::cout << "All tests passed!" << std::endl;
else
std::cout << ierr << " test(s) failed!" << std::endl;
return ierr;
}
void runTest ()
{
testCompare ();
}
int main(int argc, char *argv[])
{
int ierr = 0;
try {
int n = 100;
double alpha = 4.0;
double beta = 0.0;
double scale = 1.0;
int maxNewtonIters = 10;
NOX::Random::setSeed(1);
bool verbose = false;
// Check for verbose output
if (argc>1)
if (argv[1][0]=='-' && argv[1][1]=='v')
verbose = true;
// Create initial guess for the null vector of jacobian
Teuchos::RCP<NOX::Abstract::Vector> nullVec =
Teuchos::rcp(new NOX::LAPACK::Vector(n));
nullVec->init(1.0); // initial value 1.0
// Create parameter list
Teuchos::RCP<Teuchos::ParameterList> paramList =
Teuchos::rcp(new Teuchos::ParameterList);
// Create LOCA sublist
Teuchos::ParameterList& locaParamsList = paramList->sublist("LOCA");
// Create the stepper sublist and set the stepper parameters
Teuchos::ParameterList& stepperList = locaParamsList.sublist("Stepper");
stepperList.set("Continuation Parameter", "beta");
stepperList.set("Initial Value", beta);
stepperList.set("Max Value", 1.0);
stepperList.set("Min Value", 0.0);
stepperList.set("Max Steps", 20);
stepperList.set("Max Nonlinear Iterations", maxNewtonIters);
// Create bifurcation sublist
Teuchos::ParameterList& bifurcationList =
locaParamsList.sublist("Bifurcation");
bifurcationList.set("Type", "Turning Point");
bifurcationList.set("Bifurcation Parameter", "alpha");
bifurcationList.set("Length Normalization Vector", nullVec);
bifurcationList.set("Initial Null Vector", nullVec);
// Create predictor sublist
Teuchos::ParameterList& predictorList =
locaParamsList.sublist("Predictor");
Teuchos::ParameterList& firstStepPredictor
= predictorList.sublist("First Step Predictor");
firstStepPredictor.set("Method", "Random");
firstStepPredictor.set("Epsilon", 1.0e-3);
Teuchos::ParameterList& lastStepPredictor
= predictorList.sublist("Last Step Predictor");
lastStepPredictor.set("Method", "Random");
lastStepPredictor.set("Epsilon", 1.0e-3);
// Create step size sublist
Teuchos::ParameterList& stepSizeList = locaParamsList.sublist("Step Size");
stepSizeList.set("Initial Step Size", 0.1);
stepSizeList.set("Min Step Size", 1.0e-3);
stepSizeList.set("Max Step Size", 1.0);
// Create the "Solver" parameters sublist to be used with NOX Solvers
Teuchos::ParameterList& nlParams = paramList->sublist("NOX");
Teuchos::ParameterList& nlPrintParams = nlParams.sublist("Printing");
if (verbose)
nlPrintParams.set("Output Information",
NOX::Utils::Error +
NOX::Utils::OuterIteration +
NOX::Utils::InnerIteration +
NOX::Utils::Details +
NOX::Utils::Warning +
NOX::Utils::TestDetails +
NOX::Utils::StepperIteration +
NOX::Utils::StepperDetails +
NOX::Utils::StepperParameters);
else
nlPrintParams.set("Output Information", NOX::Utils::Error);
// Create LAPACK Factory
Teuchos::RCP<LOCA::LAPACK::Factory> lapackFactory =
Teuchos::rcp(new LOCA::LAPACK::Factory);
// Create global data object
Teuchos::RCP<LOCA::GlobalData> globalData =
LOCA::createGlobalData(paramList, lapackFactory);
// Set up the problem interface
ChanProblemInterface chan(globalData, n, alpha, beta, scale);
LOCA::ParameterVector p;
p.addParameter("alpha",alpha);
p.addParameter("beta",beta);
p.addParameter("scale",scale);
// Create a group which uses that problem interface. The group will
// be initialized to contain the default initial guess for the
// specified problem.
Teuchos::RCP<LOCA::MultiContinuation::AbstractGroup> grp =
Teuchos::rcp(new LOCA::LAPACK::Group(globalData, chan));
grp->setParams(p);
// Set up the status tests
Teuchos::RCP<NOX::StatusTest::NormF> statusTestA =
Teuchos::rcp(new NOX::StatusTest::NormF(1.0e-5,
NOX::StatusTest::NormF::Scaled));
Teuchos::RCP<NOX::StatusTest::MaxIters> statusTestB =
Teuchos::rcp(new NOX::StatusTest::MaxIters(maxNewtonIters));
Teuchos::RCP<NOX::StatusTest::Combo> combo =
Teuchos::rcp(new NOX::StatusTest::Combo(NOX::StatusTest::Combo::OR,
statusTestA, statusTestB));
// Create the stepper
LOCA::Stepper stepper(globalData, grp, combo, paramList);
// Solve the nonlinear system
LOCA::Abstract::Iterator::IteratorStatus status = stepper.run();
if (status != LOCA::Abstract::Iterator::Finished) {
ierr = 1;
if (globalData->locaUtils->isPrintType(NOX::Utils::Error))
globalData->locaUtils->out()
<< "Stepper failed to converge!" << std::endl;
}
// Get the final solution from the stepper
Teuchos::RCP<const LOCA::LAPACK::Group> finalGroup =
Teuchos::rcp_dynamic_cast<const LOCA::LAPACK::Group>(stepper.getSolutionGroup());
const NOX::LAPACK::Vector& finalSolution =
dynamic_cast<const NOX::LAPACK::Vector&>(finalGroup->getX());
// Output the parameter list
if (globalData->locaUtils->isPrintType(NOX::Utils::StepperParameters)) {
globalData->locaUtils->out()
<< std::endl << "Final Parameters" << std::endl
<< "****************" << std::endl;
stepper.getList()->print(globalData->locaUtils->out());
globalData->locaUtils->out() << std::endl;
}
// Check some statistics on the solution
NOX::TestCompare testCompare(globalData->locaUtils->out(),
*(globalData->locaUtils));
if (globalData->locaUtils->isPrintType(NOX::Utils::TestDetails))
globalData->locaUtils->out()
<< std::endl
<< "***** Checking solution statistics *****"
<< std::endl;
// Check number of steps
int numSteps = stepper.getStepNumber();
int numSteps_expected = 10;
ierr += testCompare.testValue(numSteps, numSteps_expected, 0.0,
"number of continuation steps",
NOX::TestCompare::Absolute);
// Check number of failed steps
int numFailedSteps = stepper.getNumFailedSteps();
int numFailedSteps_expected = 0;
ierr += testCompare.testValue(numFailedSteps, numFailedSteps_expected,
0.0, "number of failed continuation steps",
NOX::TestCompare::Absolute);
// Check final value of continuation parameter
double beta_final = finalGroup->getParam("beta");
double beta_expected = 0.0;
ierr += testCompare.testValue(beta_final, beta_expected, 1.0e-14,
"final value of continuation parameter",
NOX::TestCompare::Relative);
// Check final value of turning point parameter
double alpha_final = finalGroup->getParam("alpha");
double alpha_expected = 3.1601952;
ierr += testCompare.testValue(alpha_final, alpha_expected, 1.0e-5,
"final value of turning point parameter",
NOX::TestCompare::Relative);
// Check norm of solution
double norm_x = finalSolution.norm();
double norm_x_expected = 63.1872045;
ierr += testCompare.testValue(norm_x, norm_x_expected, 1.0e-4,
"norm of final solution",
NOX::TestCompare::Relative);
LOCA::destroyGlobalData(globalData);
}
catch (std::exception& e) {
std::cout << e.what() << std::endl;
ierr = 1;
}
catch (const char *s) {
std::cout << s << std::endl;
ierr = 1;
}
catch (...) {
std::cout << "Caught unknown exception!" << std::endl;
ierr = 1;
}
if (ierr == 0)
std::cout << "All tests passed!" << std::endl;
else
std::cout << ierr << " test(s) failed!" << std::endl;
return ierr;
}
int main(int argc, char *argv[])
{
int n = 100;
double alpha = 10.0;
double beta = 0.0;
double scale = 1.0;
int maxNewtonIters = 20;
int ierr = 0;
alpha = alpha / scale;
try {
bool verbose = false;
// Check for verbose output
if (argc>1)
if (argv[1][0]=='-' && argv[1][1]=='v')
verbose = true;
// Create parameter list
Teuchos::RCP<Teuchos::ParameterList> paramList =
Teuchos::rcp(new Teuchos::ParameterList);
// Create LOCA sublist
Teuchos::ParameterList& locaParamsList = paramList->sublist("LOCA");
// Create the stepper sublist and set the stepper parameters
Teuchos::ParameterList& stepperList = locaParamsList.sublist("Stepper");
// Create the "Solver" parameters sublist to be used with NOX Solvers
Teuchos::ParameterList& nlParams = paramList->sublist("NOX");
Teuchos::ParameterList& nlPrintParams = nlParams.sublist("Printing");
if (verbose)
nlPrintParams.set("Output Information",
NOX::Utils::Error +
NOX::Utils::Details +
NOX::Utils::OuterIterationStatusTest +
NOX::Utils::OuterIteration +
NOX::Utils::InnerIteration +
NOX::Utils::Warning +
NOX::Utils::TestDetails +
NOX::Utils::StepperIteration +
NOX::Utils::StepperDetails +
NOX::Utils::StepperParameters);
else
nlPrintParams.set("Output Information", NOX::Utils::Error);
// Create LAPACK Factory
Teuchos::RCP<LOCA::LAPACK::Factory> lapackFactory =
Teuchos::rcp(new LOCA::LAPACK::Factory);
// Create global data object
Teuchos::RCP<LOCA::GlobalData> globalData =
LOCA::createGlobalData(paramList, lapackFactory);
// Set up the problem interface
ChanProblemInterface chan(globalData, n, alpha, beta, scale);
LOCA::ParameterVector p;
p.addParameter("alpha",alpha);
p.addParameter("beta",beta);
p.addParameter("scale",scale);
// Create a group which uses that problem interface. The group will
// be initialized to contain the default initial guess for the
// specified problem.
Teuchos::RCP<LOCA::LAPACK::Group> grp =
Teuchos::rcp(new LOCA::LAPACK::Group(globalData, chan));
grp->setParams(p);
// Set up the status tests
grp->computeF();
double size = sqrt(static_cast<double>(grp->getX().length()));
double normF_0 = grp->getNormF() / size;
double tolerance = 1.0e-8 / normF_0 / normF_0;
Teuchos::RCP<NOX::StatusTest::NormF> statusTestA =
Teuchos::rcp(new NOX::StatusTest::NormF(*grp, tolerance));
Teuchos::RCP<NOX::StatusTest::MaxIters> statusTestB =
Teuchos::rcp(new NOX::StatusTest::MaxIters(maxNewtonIters));
Teuchos::RCP<NOX::StatusTest::Combo> combo =
Teuchos::rcp(new NOX::StatusTest::Combo(NOX::StatusTest::Combo::OR,
statusTestA, statusTestB));
// Create the homotopy group
Teuchos::RCP<LOCA::Homotopy::Group> hGrp =
Teuchos::rcp(new LOCA::Homotopy::Group(locaParamsList, globalData, grp));
// Override default parameters
stepperList.set("Max Nonlinear Iterations", maxNewtonIters);
// Create the stepper
LOCA::Stepper stepper(globalData, hGrp, combo, paramList);
// Solve the nonlinear system
LOCA::Abstract::Iterator::IteratorStatus status = stepper.run();
if (status != LOCA::Abstract::Iterator::Finished) {
ierr = 1;
if (globalData->locaUtils->isPrintType(NOX::Utils::Error))
globalData->locaUtils->out() << "Stepper failed to converge!"
<< std::endl;
}
// Get the final solution from the stepper
Teuchos::RCP<const LOCA::LAPACK::Group> finalGroup =
Teuchos::rcp_dynamic_cast<const LOCA::LAPACK::Group>(stepper.getSolutionGroup());
const NOX::LAPACK::Vector& finalSolution =
dynamic_cast<const NOX::LAPACK::Vector&>(finalGroup->getX());
// Output the parameter list
if (globalData->locaUtils->isPrintType(NOX::Utils::StepperParameters)) {
globalData->locaUtils->out()
<< std::endl << "Final Parameters" << std::endl
<< "****************" << std::endl;
stepper.getList()->print(globalData->locaUtils->out());
globalData->locaUtils->out() << std::endl;
}
// Check some statistics on the solution
NOX::Utils utils(nlPrintParams);
NOX::TestCompare testCompare(cout, utils);
if (utils.isPrintType(NOX::Utils::TestDetails))
cout << endl << "***** Checking solutions statistics *****" << endl;
// Check number of steps
int numSteps = stepper.getStepNumber();
int numSteps_expected = 14;
ierr += testCompare.testValue(numSteps, numSteps_expected, 0.0,
"number of continuation steps",
NOX::TestCompare::Absolute);
// Check number of failed steps
int numFailedSteps = stepper.getNumFailedSteps();
int numFailedSteps_expected = 3;
ierr += testCompare.testValue(numFailedSteps, numFailedSteps_expected,
0.0, "number of failed continuation steps",
NOX::TestCompare::Absolute);
// Check final value of continuation parameter
double alpha_final =
finalGroup->getParam("Homotopy Continuation Parameter");
double alpha_expected = 1.0;
ierr += testCompare.testValue(alpha_final, alpha_expected, 1.0e-14,
"final value of continuation parameter",
NOX::TestCompare::Relative);
// Check norm of solution
double norm_x = finalSolution.norm();
double norm_x_expected = 456.0303417;
ierr += testCompare.testValue(norm_x, norm_x_expected, 1.0e-7,
"norm of final solution",
NOX::TestCompare::Relative);
LOCA::destroyGlobalData(globalData);
}
catch (std::exception& e) {
std::cout << e.what() << std::endl;
ierr = 1;
}
catch (const char *s) {
std::cout << s << std::endl;
ierr = 1;
}
catch (...) {
std::cout << "Caught unknown exception!" << std::endl;
ierr = 1;
}
if (ierr == 0)
std::cout << "All tests passed!" << std::endl;
else
std::cout << ierr << " test(s) failed!" << std::endl;
return 0;
}
