tutoriali.java

Functions
void	TutiModelData.buildModel ()
	adds variables and constraints to the model
void	TutiModelData.initFDEvaluation (double[] x, int[] rowlist, EvaluationMode mode, int numthread, boolean ignerr)
	callback method for initialising the first derivative evaluation.
double	TutiModelData.evaluateNonlinearTerm (double[] x, int rowno, boolean ignerr, int thread)
	callback method for evaluating the nonlinear terms in a given row
void	TutiModelData.evaluateNonlinearJacobian (double[] x, double[] jac, int rowno, int[] jacnum, boolean ignerr, int thread)
	callback method for evaluating the jacobian for the nonlinear terms in a given row

Detailed Description

This model is a revision of Tutorial in which we have added a an initialization callback for the First derivative, Tut_FDEvalIni.

For more information about the individual callbacks, please have a look at the source code.

Function Documentation

buildModel()

void TutiModelData.buildModel ( )

inline

adds variables and constraints to the model

Definition at line 91 of file tutoriali.java.

initFDEvaluation()

void TutiModelData.initFDEvaluation ( double[] x, int[] rowlist, EvaluationMode mode, int numthread, boolean ignerr )

inline

callback method for initialising the first derivative evaluation.

If defined, this method will be called each time the point of interest has changed, and it will define the coming point and tell which constraints CONOPT will need during the following calls to evaluateNonlinearTerm and evaluateNonlinearJacobian.

Parameters

x	the solution vector that needs to be evaluated.
rowlist	the list of rows that will be evaluated for the given point.
mode	the evaluation mode for the current iteration. This is either TermsOnly, JacobianOnly or Both. See EvaluationMode for more details.
numthread	the number of threads that will be used for the following FDEval calls.
ignerr	a boolean to indicate whether the current point is safe or unsafe.

Note: an error in the evaluation is reported by calling errorInEvaluation()

Definition at line 135 of file tutoriali.java.

evaluateNonlinearTerm()

double TutiModelData.evaluateNonlinearTerm ( double[] x, int rowno, boolean ignerr, int thread )

inline

callback method for evaluating the nonlinear terms in a given row

Parameters

x	the solution vector that needs to be evaluated.
rowno	the number for the row in which the nonlinear term exists.
ignerr	a boolean to indicate whether the current point is safe or unsafe.
thread	the index of the thread from which this method is being called from.

Returns

the value of the nonlinear terms.

Note: an error in the evaluation is reported by calling errorInEvaluation()

Definition at line 153 of file tutoriali.java.

evaluateNonlinearJacobian()

void TutiModelData.evaluateNonlinearJacobian ( double[] x, double[] jac, int rowno, int[] jacnum, boolean ignerr, int thread )

inline

callback method for evaluating the jacobian for the nonlinear terms in a given row

Parameters

x	the solution vector that needs to be evaluated.
jac	an array to store the Jacobian at the given point and row. This is of length numVar().
rowno	the number for the row in which the nonlinear term exists.
jacnum	vector with a list of column numbers for the nonlinear nonzero Jacobian elements in the row.
ignerr	a boolean to indicate whether the current point is safe or unsafe.
thread	the index of the thread from which this method is being called from.

Note: an error in the evaluation is reported by calling errorInEvaluation()

Definition at line 172 of file tutoriali.java.