Data class for defining static optimization problems. More...

#include <nlp.hpp>

Inheritance diagram for NLP:

Public Member Functions
returnValue	minimize (const Expression &arg)

returnValue	minimize (const int &multiObjectiveIdx, const Expression &arg)

	NLP ()

virtual	~NLP ()

Public Member Functions inherited from OCP
returnValue	maximizeLagrangeTerm (const Expression &arg)

returnValue	maximizeMayerTerm (const Expression &arg)

returnValue	minimizeLagrangeTerm (const Expression &arg)

returnValue	minimizeMayerTerm (const Expression &arg)

returnValue	minimizeMayerTerm (const int &multiObjectiveIdx, const Expression &arg)

	OCP (const double &tStart_=0.0, const double &tEnd_=1.0, const int &N_=20)

	OCP (const double &tStart_, const double &tEnd_, const DVector &_numSteps)

	OCP (const double &tStart_, const Parameter &tEnd_, const int &N_=20)

	OCP (const Grid &grid_)

returnValue	subjectTo (const DifferentialEquation &differentialEquation_)

returnValue	subjectTo (const ConstraintComponent &component)

returnValue	subjectTo (int index_, const ConstraintComponent &component)

returnValue	subjectTo (const double lb_, const Expression &arg1, const Expression &arg2, const double ub_)

virtual	~OCP ()

returnValue	minimizeLSQ (const DMatrix &S, const Function &h, const DVector &r)

returnValue	minimizeLSQ (const Function &h, const DVector &r)

returnValue	minimizeLSQ (const Function &h)

returnValue	minimizeLSQ (const MatrixVariablesGrid &S, const Function &h, const VariablesGrid &r)

returnValue	minimizeLSQ (const DMatrix &S, const Function &h, const VariablesGrid &r)

returnValue	minimizeLSQ (const Function &h, const VariablesGrid &r)

returnValue	minimizeLSQ (const MatrixVariablesGrid &S, const Function &h, const char *rFilename)

returnValue	minimizeLSQ (const DMatrix &S, const Function &h, const char *rFilename)

returnValue	minimizeLSQ (const Function &h, const char *rFilename)

returnValue	minimizeLSQ (const DMatrix &S, const Function &h)

returnValue	minimizeLSQ (const BMatrix &S, const Function &h)

returnValue	minimizeLSQ (const DMatrix &S, const std::string &h)

returnValue	minimizeLSQ (const BMatrix &S, const std::string &h)

returnValue	minimizeLSQEndTerm (const DMatrix &S, const Function &m, const DVector &r)

returnValue	minimizeLSQEndTerm (const Function &m, const DVector &r)

returnValue	minimizeLSQEndTerm (const DMatrix &S, const Function &m)

returnValue	minimizeLSQEndTerm (const DMatrix &S, const std::string &m)

returnValue	minimizeLSQEndTerm (const BMatrix &S, const Function &m)

returnValue	minimizeLSQEndTerm (const BMatrix &S, const std::string &m)

returnValue	minimizeLSQLinearTerms (const DVector &Slx, const DVector &Slu)

returnValue	minimizeLSQLinearTerms (const BVector &Slx, const BVector &Slu)

returnValue	subjectTo (const double lb_, const Expression *arguments, const double ub_)

returnValue	subjectTo (const DVector &_lb, const Expression &_expr, const DVector &_ub)

returnValue	subjectTo (int _index, const DVector &_lb, const Expression &_expr, const DVector &_ub)

BooleanType	hasObjective () const

BooleanType	hasConstraint () const

returnValue	getGrid (Grid &grid_) const

returnValue	getObjective (Objective &objective_) const

returnValue	getObjective (const int &multiObjectiveIdx, Expression **arg) const

returnValue	getConstraint (Constraint &constraint_) const

returnValue	setObjective (const Objective &objective_)

returnValue	setConstraint (const Constraint &constraint_)

returnValue	setNumberIntegrationSteps (const uint numSteps)

virtual BooleanType	hasEquidistantGrid () const

double	getStartTime () const

double	getEndTime () const

Public Member Functions inherited from MultiObjectiveFunctionality
int	getNumberOfMayerTerms () const

returnValue	getObjective (const int &multiObjectiveIdx, Expression **arg) const

returnValue	minimizeMayerTerm (const int &multiObjectiveIdx, const Expression &arg)

	MultiObjectiveFunctionality ()

	MultiObjectiveFunctionality (const MultiObjectiveFunctionality &rhs)

MultiObjectiveFunctionality &	operator= (const MultiObjectiveFunctionality &rhs)

	~MultiObjectiveFunctionality ()

Public Member Functions inherited from ModelContainer
uint	addOutput (const OutputFcn &outputEquation_, const DVector &measurements)

uint	addOutput (const OutputFcn &outputEquation_, const uint numberMeasurements)

uint	addOutput (const std::string &output, const std::string &diffs_output, const uint dim, const DVector &measurements)

uint	addOutput (const std::string &output, const std::string &diffs_output, const uint dim, const uint numberMeasurements)

uint	addOutput (const std::string &output, const std::string &diffs_output, const uint dim, const DVector &measurements, const std::string &colInd, const std::string &rowPtr)

uint	addOutput (const std::string &output, const std::string &diffs_output, const uint dim, const uint numberMeasurements, const std::string &colInd, const std::string &rowPtr)

BooleanType	exportRhs () const

DVector	getDimOutputs () const

const std::string	getFileNameModel () const

returnValue	getIntegrationGrid (Grid &_grid) const

returnValue	getModel (DifferentialEquation &_f) const

ModelData &	getModelData ()

uint	getN () const

uint	getNDX () const

uint	getNOD () const

uint	getNP () const

uint	getNU () const

DVector	getNumMeas () const

uint	getNX () const

uint	getNXA () const

BooleanType	hasDifferentialEquation () const

BooleanType	hasEquidistantControlGrid () const

BooleanType	hasOutputs () const

	ModelContainer ()

BooleanType	modelDimensionsSet () const

returnValue	setDimensions (uint _NX1, uint _NX2, uint _NX3, uint _NDX, uint _NDX3, uint _NXA, uint _NXA3, uint _NU, uint _NOD, uint _NP)

returnValue	setDimensions (uint _NX1, uint _NX2, uint _NX3, uint _NDX, uint _NXA, uint _NU, uint _NOD, uint _NP)

returnValue	setDimensions (uint _NX, uint _NDX, uint _NXA, uint _NU, uint _NOD, uint _NP)

returnValue	setDimensions (uint _NX, uint _NU, uint _NOD, uint _NP)

returnValue	setIntegrationGrid (const Grid &_ocpGrid, const uint _numSteps)

returnValue	setLinearInput (const DMatrix &A1_, const DMatrix &B1_)

returnValue	setLinearInput (const DMatrix &M1_, const DMatrix &A1_, const DMatrix &B1_)

returnValue	setLinearOutput (const DMatrix &A3_, const OutputFcn &rhs_)

returnValue	setLinearOutput (const DMatrix &M3_, const DMatrix &A3_, const OutputFcn &rhs_)

returnValue	setLinearOutput (const DMatrix &A3_, const std::string &_rhs3, const std::string &_diffs_rhs3)

returnValue	setLinearOutput (const DMatrix &M3_, const DMatrix &A3_, const std::string &_rhs3, const std::string &_diffs_rhs3)

returnValue	setModel (const DifferentialEquation &_f)

returnValue	setModel (const std::string &fileName, const std::string &_rhs_ODE, const std::string &_diffs_rhs_ODE)

returnValue	setModelData (const ModelData &data)

returnValue	setN (const uint N_)

returnValue	setNARXmodel (const uint _delay, const DMatrix &_parms)

returnValue	setNOD (const uint NOD_)

returnValue	setNonlinearFeedback (const DMatrix &C_, const OutputFcn &feedb_)

returnValue	setNP (const uint NP_)

returnValue	setNU (const uint NU_)

returnValue	setupOutput (const DVector &numberMeasurements)

Additional Inherited Members
Protected Member Functions inherited from OCP
void	setupGrid (double tStart, double tEnd, int N)

void	setupGrid (const DVector &times)

Protected Attributes inherited from OCP
std::shared_ptr< Constraint >	constraint

std::shared_ptr< Grid >	grid

std::shared_ptr< Objective >	objective

Protected Attributes inherited from MultiObjectiveFunctionality
Expression **	mayerTerms

int	nMayer

Protected Attributes inherited from ModelContainer
ModelData	modelData

uint	NOD

uint	NP

uint	NU

Detailed Description

Data class for defining static optimization problems.

The class NLP is a data class for defining static optimization problems.

Author: Boris Houska, Hans Joachim Ferreau

Definition at line 47 of file nlp.hpp.

Constructor & Destructor Documentation

BEGIN_NAMESPACE_ACADO NLP::NLP ( )

Default constructor.

Definition at line 37 of file nlp.cpp.

NLP::~NLP ( )

virtual

Destructor.

Definition at line 41 of file nlp.cpp.

Member Function Documentation

returnValue NLP::minimize ( const Expression & arg )

Definition at line 44 of file nlp.cpp.

returnValue NLP::minimize	(	const int &	multiObjectiveIdx,
		const Expression &	arg
	)

Definition at line 49 of file nlp.cpp.

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

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation