vector/test_11.cpp File Reference

#include "ROL_StdArray.hpp"
#include "ROL_StdVector.hpp"
#include "ROL_Stream.hpp"
#include "Teuchos_GlobalMPISession.hpp"
#include <iostream>

Go to the source code of this file.

Typedefs
using	RealT = double

Functions
int	main (int argc, char *argv[])

Variables
constexpr auto	dim = 100u

Typedef Documentation

using RealT = double

Definition at line 21 of file vector/test_11.cpp.

Function Documentation

int main	(	int	argc,
		char *	argv[]
	)

Definition at line 25 of file vector/test_11.cpp.

References ROL::StdArray< Real, array_size, pool_size >::basis(), ROL::Vector< Real >::checkVector(), ROL::StdArray< Real, array_size, pool_size >::clone(), dim, ROL::StdArray< Real, array_size, pool_size >::initialize_pool(), ROL::StdVector< Real, Element >::norm(), ROL::StdArray< Real, array_size, pool_size >::pool_count(), ROL::StdArray< Real, array_size, pool_size >::randomize(), and ROL::StdArray< Real, array_size, pool_size >::scale().

Variable Documentation

constexpr auto dim = 100u

Definition at line 23 of file vector/test_11.cpp.

Referenced by Constraint_BurgersControl< Real >::apply_control_jacobian(), OptStdVector< Real, Element >::applyBinary(), ROL::StdVector< Real >::applyBinary(), OptDualStdVector< Real, Element >::applyBinary(), ROL::Bundle_U_AS< Real >::applyG_Jacobi(), ROL::Bundle_AS< Real >::applyG_Jacobi(), ROL::Bundle_U_AS< Real >::applyG_SymGS(), ROL::Bundle_AS< Real >::applyG_SymGS(), ROL::Bundle_U_AS< Real >::applyPreconditioner_Identity(), ROL::Bundle_AS< Real >::applyPreconditioner_Identity(), ROL::Bundle_U_AS< Real >::applyPreconditioner_Jacobi(), ROL::Bundle_AS< Real >::applyPreconditioner_Jacobi(), ROL::Bundle_U_AS< Real >::applyPreconditioner_SymGS(), ROL::Bundle_AS< Real >::applyPreconditioner_SymGS(), ROL::StdVector< Real >::axpy(), ROL::computeDenseHessian(), ROL::computeDotMatrix(), ROL::BoundConstraint< Real >::computeInf(), ROL::MeanValueObjective< Real >::computeSampleMean(), ROL::MeanValueConstraint< Real >::computeSampleMean(), ROL::OptimizationProblem< Real >::computeSampleMean(), ROL::computeScaledDenseHessian(), ROL::BatchStdVector< Real >::dimension(), ROL::RiskVector< Real >::dimension(), ROL::AtomVector< Real >::getAtom(), ROL::RegressionError< Real >::gradient(), ROL::ZOO::Objective_PoissonInversion< Real >::invHessVec(), BurgersFEM< Real >::linear_solve(), ROL::LinearRegression< Real >::LinearRegression(), main(), ROL::MonteCarloGenerator< Real >::MonteCarloGenerator(), ROL::ZOO::Objective_DiodeCircuit< Real >::Objective_DiodeCircuit(), ROL::StdVector< Real >::plus(), ROL::LinearRegression< Real >::print(), printMatrix(), OptStdVector< Real, Element >::reduce(), ROL::StdVector< Real >::reduce(), OptDualStdVector< Real, Element >::reduce(), ROL::BatchManager< Real >::reduceAll(), ROL::LinMore< Real >::run(), ROL::UserInputGenerator< Real >::sample(), ROL::MonteCarloGenerator< Real >::sample(), ROL::AtomVector< Real >::setAtom(), setRandomVector(), ROL::StdVector< Real >::setScalar(), ROL::StdVector< Real >::StdVector(), ROL::BatchManager< Real >::sumAll(), ROL::UserInputGenerator< Real >::UserInputGenerator(), and ROL::RegressionError< Real >::value().