tutorial2.py

Functions
	tutorial2.TutModelData.buildModel (self)
	adding the variables and constraints to the model
	tutorial2.TutModelData.evaluateNonlinearTerm (self, x, rowno, ignerr, thread)
	tutorial2.TutModelData.evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread)
	tutorial2.TutModelData.evaluateSDLagrangian (self, x, u, hessianrow, hessiancol)

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

buildModel()

tutorial2.TutModelData.buildModel

(

self

)

adding the variables and constraints to the model

Definition at line 28 of file tutorial2.py.

evaluateNonlinearTerm()

tutorial2.TutModelData.evaluateNonlinearTerm	(		self,
			x,
			rowno,
			ignerr,
			thread )

Definition at line 57 of file tutorial2.py.

evaluateNonlinearJacobian()

tutorial2.TutModelData.evaluateNonlinearJacobian	(		self,
			x,
			rowno,
			jacnum,
			ignerr,
			thread )

Definition at line 77 of file tutorial2.py.

evaluateSDLagrangian()

tutorial2.TutModelData.evaluateSDLagrangian	(		self,
			x,
			u,
			hessianrow,
			hessiancol )

Definition at line 101 of file tutorial2.py.