CONOPT
Loading...
Searching...
No Matches

Functions

void PinAdd2ModelData.buildModel (int T, double[] xkeep, int[] xstat, int[] estat)
 adds variables and constraints to the model
 
double PinAdd2ModelData.evaluateNonlinearTerm (double[] x, int rowno, boolean ignerr, int thread)
 callback method for evaluating the nonlinear terms in a given row
 
void PinAdd2ModelData.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 PinAdd2ModelData.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 is a CONOPT implementation of the Pindyck model from the GAMS model library. The implementation is similar to the one in pindyck, but this time we first solve the model for 16 periods and then we gradually increase the number of periods one at a time up to 20.

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

Function Documentation

◆ buildModel()

void PinAdd2ModelData.buildModel ( int T,
double[] xkeep,
int[] xstat,
int[] estat )
inline

adds variables and constraints to the model

The variables from the last solve are given the old status and the variables in the new period are given those in the last period. Similarly with the Equation status:

Definition at line 121 of file pinadd2.java.

◆ evaluateNonlinearTerm()

double PinAdd2ModelData.evaluateNonlinearTerm ( double[] x,
int rowno,
boolean ignerr,
int thread )
inline

callback method for evaluating the nonlinear terms in a given row

Parameters
xthe solution vector that needs to be evaluated.
rownothe number for the row in which the nonlinear term exists.
ignerra boolean to indicate whether the current point is safe or unsafe.
threadthe index of the thread from which this method is being called from.
Returns
the value of the nonlinear terms.

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

Definition at line 418 of file pinadd2.java.

◆ evaluateNonlinearJacobian()

void PinAdd2ModelData.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
xthe solution vector that needs to be evaluated.
jacan array to store the Jacobian at the given point and row. This is of length numVar().
rownothe number for the row in which the nonlinear term exists.
jacnumvector with a list of column numbers for the nonlinear nonzero Jacobian elements in the row.
ignerra boolean to indicate whether the current point is safe or unsafe.
threadthe 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 446 of file pinadd2.java.

◆ evaluateSDLagrangian()

void PinAdd2ModelData.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
xthe solution vector that needs to be evaluated.
uthe vector of weights on the individual constraints.
hessianrowvector of row numbers of the lower triangular part of the hessian.
hessiancolvector of column numbers of the lower triangular part of the hessian.
hessianvalan 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 478 of file pinadd2.java.