Functions
void	Tut2ModelData.buildModel ()
	adds variables and constraints to the model

double	Tut2ModelData.evaluateNonlinearTerm (double[] x, int rowno, boolean ignerr, int thread)
	callback method for evaluating the nonlinear terms in a given row

void	Tut2ModelData.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

void	Tut2ModelData.evaluateSDLagrangian (double x[], double u[], int[] hessianrow, int[] hessiancol, double[] hessianval)
	Computes and returns the numerical values of the Lagrangian of the Hessian.

Detailed Description

This model is a revision of Tutorial in which we have added a set of 2nd derivative routines, Tut_2DLagrStr and Tut_2DLagrVal.

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

Function Documentation

void Tut2ModelData.buildModel ( )

inline

adds variables and constraints to the model

Definition at line 81 of file tutorial2.java.

double Tut2ModelData.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.

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

Definition at line 130 of file tutorial2.java.

void Tut2ModelData.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 157 of file tutorial2.java.

void Tut2ModelData.evaluateSDLagrangian	(	double	x[],
		double	u[],
		int[]	hessianrow,
		int[]	hessiancol,
		double[]	hessianval )

inline

Computes and returns the numerical values of the Lagrangian of the Hessian.

Parameters

x	the solution vector that needs to be evaluated.
u	the vector of weights on the individual constraints.
hessianrow	vector of row numbers of the lower triangular part of the hessian.
hessiancol	vector of column numbers of the lower triangular part of the hessian.
hessianval	an array to store the Hessian computed at the given point and row. This is of length numHessianNonzeros().

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

Definition at line 186 of file tutorial2.java.