本文整理汇总了C++中BFPtr::varFactory方法的典型用法代码示例。如果您正苦于以下问题：C++ BFPtr::varFactory方法的具体用法？C++ BFPtr::varFactory怎么用？C++ BFPtr::varFactory使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类BFPtr的用法示例。
在下文中一共展示了BFPtr::varFactory方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: setup
void RHSTests::setup()
{
FieldContainer<double> quadPoints(4,2);
quadPoints(0,0) = 0.0; // x1
quadPoints(0,1) = 0.0; // y1
quadPoints(1,0) = 1.0;
quadPoints(1,1) = 0.0;
quadPoints(2,0) = 1.0;
quadPoints(2,1) = 1.0;
quadPoints(3,0) = 0.0;
quadPoints(3,1) = 1.0;
int H1Order = 3;
int delta_p = 3; // for test functions
int horizontalCells = 2;
int verticalCells = 2;
double eps = 1.0; // not really testing for sharp gradients right now--just want to see if things basically work
double beta_x = 1.0;
double beta_y = 1.0;
BFPtr confusionBF = ConfusionBilinearForm::confusionBF(eps,beta_x,beta_y);
Teuchos::RCP<ConfusionProblemLegacy> confusionProblem = Teuchos::rcp( new ConfusionProblemLegacy(confusionBF, beta_x, beta_y) );
_rhs = confusionProblem;
_mesh = MeshFactory::buildQuadMesh(quadPoints, horizontalCells, verticalCells, confusionBF, H1Order, H1Order+delta_p);
_mesh->setUsePatchBasis(false);
VarFactoryPtr varFactory = confusionBF->varFactory(); // Create test IDs that match the enum in ConfusionBilinearForm
_tau = varFactory->testVar(ConfusionBilinearForm::S_TAU,HDIV);
_v = varFactory->testVar(ConfusionBilinearForm::S_V,HGRAD);
_rhsEasy = RHS::rhs();
_rhsEasy->addTerm( _v );
}示例2:
ConfusionManufacturedSolution::ConfusionManufacturedSolution(double epsilon, double beta_x, double beta_y)
{
_epsilon = epsilon;
_beta_x = beta_x;
_beta_y = beta_y;
// set the class variables from ExactSolution:
// _bc = Teuchos::rcp(this,false); // false: don't let the RCP own the memory
// _rhs = Teuchos::rcp(this,false);
BFPtr bf = ConfusionBilinearForm::confusionBF(epsilon,beta_x,beta_y);
_bilinearForm = bf;
VarFactoryPtr vf = bf->varFactory();
VarPtr u = vf->fieldVar(ConfusionBilinearForm::S_U);
VarPtr sigma1 = vf->fieldVar(ConfusionBilinearForm::S_SIGMA_1);
VarPtr sigma2 = vf->fieldVar(ConfusionBilinearForm::S_SIGMA_2);
_u_hat = vf->traceVar(ConfusionBilinearForm::S_U_HAT);
_beta_n_u_minus_sigma_hat = vf->fluxVar(ConfusionBilinearForm::S_BETA_N_U_MINUS_SIGMA_HAT);
_v = vf->testVar(ConfusionBilinearForm::S_V, HGRAD);
FunctionPtr u_exact = this->u();
FunctionPtr sigma_exact = epsilon * u_exact->grad();
FunctionPtr u_exact_laplacian = u_exact->dx()->dx() + u_exact->dy()->dy();
_rhs = RHS::rhs();
FunctionPtr f = - _epsilon * u_exact_laplacian + _beta_x * u_exact->dx() + _beta_y * u_exact->dy();
_rhs->addTerm( f * _v );
_bc = BC::bc();
_bc->addDirichlet(_u_hat, SpatialFilter::allSpace(), u_exact);
FunctionPtr beta = Function::vectorize(Function::constant(_beta_x), Function::constant(_beta_y));
FunctionPtr n = Function::normal();
FunctionPtr one_skeleton = Function::meshSkeletonCharacteristic(); // allows restriction to skeleton
FunctionPtr sigma_flux_exact = beta * ( n * u_exact - sigma_exact * one_skeleton);
this->setSolutionFunction(u, u_exact);
this->setSolutionFunction(sigma1, sigma_exact->x());
this->setSolutionFunction(sigma2, sigma_exact->y());
this->setSolutionFunction(_u_hat, u_exact);
this->setSolutionFunction(_beta_n_u_minus_sigma_hat, sigma_flux_exact);
}