example_07.cpp File Reference

Shows how to solve a steady Burgers' optimal control problem using full-space methods. More...

#include "ROL_OptimizationSolver.hpp"
#include "ROL_Reduced_Objective_SimOpt.hpp"
#include "ROL_MonteCarloGenerator.hpp"
#include "ROL_ParameterList.hpp"
#include "ROL_Stream.hpp"
#include "Teuchos_GlobalMPISession.hpp"
#include "Teuchos_Comm.hpp"
#include "Teuchos_DefaultComm.hpp"
#include "Teuchos_CommHelpers.hpp"
#include <iostream>
#include <fstream>
#include <algorithm>
#include "example_07.hpp"

Go to the source code of this file.

Typedefs
typedef double	RealT
typedef H1VectorPrimal< RealT >	PrimalStateVector
typedef H1VectorDual< RealT >	DualStateVector
typedef L2VectorPrimal< RealT >	PrimalControlVector
typedef L2VectorDual< RealT >	DualControlVector
typedef H1VectorDual< RealT >	PrimalConstraintVector
typedef H1VectorPrimal< RealT >	DualConstraintVector

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

Detailed Description

Shows how to solve a steady Burgers' optimal control problem using full-space methods.

Definition in file example_07.cpp.

Typedef Documentation

typedef double RealT

Definition at line 32 of file example_07.cpp.

typedef H1VectorPrimal<RealT> PrimalStateVector

Definition at line 33 of file example_07.cpp.

typedef H1VectorDual<RealT> DualStateVector

Definition at line 34 of file example_07.cpp.

typedef L2VectorPrimal<RealT> PrimalControlVector

Definition at line 35 of file example_07.cpp.

typedef L2VectorDual<RealT> DualControlVector

Definition at line 36 of file example_07.cpp.

typedef H1VectorDual<RealT> PrimalConstraintVector

Definition at line 37 of file example_07.cpp.

typedef H1VectorPrimal<RealT> DualConstraintVector

Definition at line 38 of file example_07.cpp.

Function Documentation

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

Definition at line 40 of file example_07.cpp.

References ROL::OptimizationProblem< Real >::check(), dim, ROL::OptimizationProblem< Real >::getSolutionStatistic(), ROL::OptimizationProblem< Real >::setStochasticObjective(), and ROL::OptimizationSolver< Real >::solve().