example_01a.cpp File Reference

An example combining ROL and Sacado to mimize the Zakharov function. The gradient and the action of the Hessian on a given vector are computed by Sacado using automatic differentiation. More...

#include <iostream>
#include "ROL_Sacado_Objective.hpp"
#include "ROL_Algorithm.hpp"
#include "ROL_LineSearchStep.hpp"
#include "ROL_StatusTest.hpp"
#include "ROL_ParameterList.hpp"
#include "ROL_Stream.hpp"
#include "Teuchos_GlobalMPISession.hpp"
#include "example_01a.hpp"

Go to the source code of this file.

Typedefs
typedef double	RealT

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

Detailed Description

An example combining ROL and Sacado to mimize the Zakharov function. The gradient and the action of the Hessian on a given vector are computed by Sacado using automatic differentiation.

   This implementation is far from optimal as vectors of AD type
   are being created repeatedly. A more efficient implementation 
   would encapsulate the functions Zakharov, objgrad, and hessVec
   in an object so that the AD vectors can be instantiated once. 

Author

Created by G. von Winckel

Definition in file example_01a.cpp.

Typedef Documentation

typedef double RealT

Definition at line 39 of file example_01a.cpp.

Function Documentation

int main	(	int	argc,
		char **	argv
	)

Definition at line 41 of file example_01a.cpp.

References ROL::StdVector< Real, Element >::axpy(), dim, ROL::StdVector< Real, Element >::norm(), and ROL::Algorithm< Real >::run().