Public Member Functions

Implements a Gauss-Newton approximation as second-order derivatives within NLPsolvers. More...

#include <gauss_newton_approximation.hpp>

Inheritance diagram for GaussNewtonApproximation:
Inheritance graph
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List of all members.

Public Member Functions

virtual returnValue apply (BlockMatrix &B, const BlockMatrix &x, const BlockMatrix &y)
virtual
NLPderivativeApproximation
clone () const
 GaussNewtonApproximation ()
 GaussNewtonApproximation (UserInteraction *_userInteraction)
 GaussNewtonApproximation (const GaussNewtonApproximation &rhs)
virtual returnValue initHessian (BlockMatrix &B, uint N, const OCPiterate &iter)
virtual returnValue initScaling (BlockMatrix &B, const BlockMatrix &x, const BlockMatrix &y)
GaussNewtonApproximationoperator= (const GaussNewtonApproximation &rhs)
virtual ~GaussNewtonApproximation ()

Detailed Description

Implements a Gauss-Newton approximation as second-order derivatives within NLPsolvers.

The class GaussNewtonApproximation implements a Gauss-Newton approximation as second-order derivative information within iterative NLPsolvers.

Author:
Boris Houska, Hans Joachim Ferreau

Definition at line 56 of file gauss_newton_approximation.hpp.


Constructor & Destructor Documentation

Default constructor.

Definition at line 45 of file gauss_newton_approximation.cpp.

Default constructor.

Definition at line 50 of file gauss_newton_approximation.cpp.

Copy constructor (deep copy).

Definition at line 55 of file gauss_newton_approximation.cpp.

Destructor.

Definition at line 60 of file gauss_newton_approximation.cpp.


Member Function Documentation

returnValue GaussNewtonApproximation::apply ( BlockMatrix B,
const BlockMatrix x,
const BlockMatrix y 
) [virtual]
Parameters:
Bmatrix to be updated
xdirection x
yresiduum

Implements NLPderivativeApproximation.

Reimplemented in GaussNewtonApproximationWithBFGS.

Definition at line 102 of file gauss_newton_approximation.cpp.

Implements NLPderivativeApproximation.

Reimplemented in GaussNewtonApproximationWithBFGS.

Definition at line 76 of file gauss_newton_approximation.cpp.

returnValue GaussNewtonApproximation::initHessian ( BlockMatrix B,
uint  N,
const OCPiterate iter 
) [virtual]
Parameters:
Bmatrix to be initialised
Nnumber of intervals
itercurrent iterate

Implements NLPderivativeApproximation.

Reimplemented in GaussNewtonApproximationWithBFGS.

Definition at line 83 of file gauss_newton_approximation.cpp.

returnValue GaussNewtonApproximation::initScaling ( BlockMatrix B,
const BlockMatrix x,
const BlockMatrix y 
) [virtual]
Parameters:
Bmatrix to be updated
xdirection x
yresiduum

Implements NLPderivativeApproximation.

Reimplemented in GaussNewtonApproximationWithBFGS.

Definition at line 92 of file gauss_newton_approximation.cpp.

GaussNewtonApproximation & GaussNewtonApproximation::operator= ( const GaussNewtonApproximation rhs)

Assignment operator (deep copy).

Definition at line 65 of file gauss_newton_approximation.cpp.


The documentation for this class was generated from the following files:


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Sat Jun 8 2019 19:40:24