ROL
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Shows how to solve the inverse Poisson problem using trust-region methods with dense Hessian diagnostics. More...
#include "ROL_Types.hpp"
#include "ROL_PoissonInversion.hpp"
#include "ROL_Algorithm.hpp"
#include "ROL_LineSearchStep.hpp"
#include "ROL_TrustRegionStep.hpp"
#include "ROL_StatusTest.hpp"
#include "ROL_Stream.hpp"
#include "Teuchos_GlobalMPISession.hpp"
#include <iostream>
#include <algorithm>
Go to the source code of this file.
Macros | |
#define | USE_HESSVEC 1 |
Typedefs | |
typedef double | RealT |
Functions | |
int | main (int argc, char *argv[]) |
Shows how to solve the inverse Poisson problem using trust-region methods with dense Hessian diagnostics.
Definition in file poisson-inversion/example_01.cpp.
#define USE_HESSVEC 1 |
Definition at line 49 of file poisson-inversion/example_01.cpp.
typedef double RealT |
Definition at line 63 of file poisson-inversion/example_01.cpp.
int main | ( | int | argc, |
char * | argv[] | ||
) |
Definition at line 65 of file poisson-inversion/example_01.cpp.
References dim, and ROL::StdVector< Real, Element >::dimension().