Functions
	largebnd.TutModelData.buildModel (self)
	adding the variables and constraints to the model

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

	largebnd.TutModelData.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 the standard Tutorial model with a little twist: We assign some of the upper bounds a value above the maximum value of Rtmaxv. Earlier this would be a fatal error. Now the bounds are projected on the legal interval, a message is issued, and the model solved.

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

Function Documentation

◆ buildModel()

largebnd.TutModelData.buildModel ( self )

adding the variables and constraints to the model

Definition at line 26 of file largebnd.py.

◆ evaluateNonlinearTerm()

largebnd.TutModelData.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 62 of file largebnd.py.

◆ evaluateNonlinearJacobian()

largebnd.TutModelData.evaluateNonlinearJacobian	(	self,
		x,
		rowno,
		jacnum,
		ignerr,
		thread )

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