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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 15 of file poisson-inversion/example_01.cpp.
| typedef double RealT |
Definition at line 29 of file poisson-inversion/example_01.cpp.
| int main | ( | int | argc, |
| char * | argv[] | ||
| ) |
Definition at line 31 of file poisson-inversion/example_01.cpp.
References dim, and ROL::StdVector< Real, Element >::dimension().