ROL
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Shows how to use the nonlinear least squares interface to find a feasible point for the equality constrained NLP from Nocedal/Wright, 2nd edition, page 574, example 18.2. More...
#include "ROL_SimpleEqConstrained.hpp"
#include "ROL_StdVector.hpp"
#include "ROL_NonlinearLeastSquaresObjective.hpp"
#include "ROL_Algorithm.hpp"
#include "ROL_TrustRegionStep.hpp"
#include "ROL_Stream.hpp"
#include "Teuchos_GlobalMPISession.hpp"
#include <iostream>
Go to the source code of this file.
Typedefs | |
typedef double | RealT |
Functions | |
int | main (int argc, char *argv[]) |
Shows how to use the nonlinear least squares interface to find a feasible point for the equality constrained NLP from Nocedal/Wright, 2nd edition, page 574, example 18.2.
Definition in file function/test_05.cpp.
typedef double RealT |
Definition at line 60 of file function/test_05.cpp.
int main | ( | int | argc, |
char * | argv[] ) |
Definition at line 63 of file function/test_05.cpp.
References ROL::Objective< Real >::checkGradient(), ROL::Objective< Real >::checkHessSym(), ROL::Objective< Real >::checkHessVec(), dim, ROL::ZOO::getSimpleEqConstrained< Real, XPrim, XDual, CPrim, CDual >::getEqualityConstraint(), ROL::ZOO::getSimpleEqConstrained< Real, XPrim, XDual, CPrim, CDual >::getInitialGuess(), ROL::ZOO::getSimpleEqConstrained< Real, XPrim, XDual, CPrim, CDual >::getObjective(), and ROL::ZOO::getSimpleEqConstrained< Real, XPrim, XDual, CPrim, CDual >::getSolution().