Functions
	pinadd.PinAddModelData.buildModel (self, T, xkeep, xstat, estat)
	adding the variables and constraints to the model

	pinadd.PinAddModelData.evaluateNonlinearTerm (self, x, rowno, ignerr, thread)
	callback method for evaluating the nonlinear terms in a given row

	pinadd.PinAddModelData.evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread)
	callback method for evaluating the jacobian for the nonlinear terms in a given row

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()

pinadd.PinAddModelData.buildModel	(	self,
		T,
		xkeep,
		xstat,
		estat )

adding the variables and constraints to the model

Definition at line 45 of file pinadd.py.

◆ evaluateNonlinearTerm()

pinadd.PinAddModelData.evaluateNonlinearTerm	(	self,
		x,
		rowno,
		ignerr,
		thread )

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.

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

Definition at line 322 of file pinadd.py.

◆ evaluateNonlinearJacobian()

pinadd.PinAddModelData.evaluateNonlinearJacobian	(	self,
		x,
		rowno,
		jacnum,
		ignerr,
		thread )

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