108 for( run1 = 0; run1 < np; run1++ )
109 for( run2 = 0; run2 < np; run2++ )
110 pVar( run1, run2 ) = tmp( offset+run1, offset+run2 );
virtual returnValue initializeNlpSolver(const OCPiterate &_userInit)
Data class for storing generic optimization variables.
virtual returnValue initializeObjective(Objective *F)
void init(unsigned _nRows=0, unsigned _nCols=0)
ParameterEstimationAlgorithm & operator=(const ParameterEstimationAlgorithm &arg)
returnValue getAlgebraicStateVarianceCovariance(DMatrix &xaVar)
User-interface to formulate and solve optimal control problems and static NLPs.
virtual ~ParameterEstimationAlgorithm()
Allows to pass back messages to the calling function.
ParameterEstimationAlgorithm()
returnValue getControlCovariance(DMatrix &uVar)
returnValue getParameterVarianceCovariance(DMatrix &pVar)
#define CLOSE_NAMESPACE_ACADO
User-interface to formulate and solve parameter estimation problems.
returnValue getDistubanceVarianceCovariance(DMatrix &wVar)
returnValue getVarianceCovariance(DMatrix &var)
returnValue getDifferentialStateVarianceCovariance(DMatrix &xVar)
Data class for defining optimal control problems.
virtual returnValue getVarianceCovariance(DMatrix &var)=0
#define BEGIN_NAMESPACE_ACADO
virtual returnValue initializeNlpSolver(const OCPiterate &_userInit)
OptimizationAlgorithm & operator=(const OptimizationAlgorithm &arg)
uint getNumValues() const
Stores and evaluates the objective function of optimal control problems.
#define ACADOERROR(retval)