CONOPT
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Functions

 qp2.QPModelData.buildModel (self)
 adding the variables and constraints to the model
 
 qp2.QPModelData.evaluateNonlinearTerm (self, x, rowno, ignerr, thread)
 callback method for evaluating the nonlinear terms in a given row
 
 qp2.QPModelData.evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread)
 callback method for evaluating the jacobian for the nonlinear terms in a given row
 
 qp2.QPModelData.evaluateDirectionalSD (self, x, dx, rowno, jacnum, thread)
 computes the directional second derivative for a single constraint
 

Detailed Description

Similar to qp1 but uses directional 2nd derivatives.

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

Function Documentation

◆ buildModel()

qp2.QPModelData.buildModel ( self)

adding the variables and constraints to the model

Definition at line 31 of file qp2.py.

◆ evaluateNonlinearTerm()

qp2.QPModelData.evaluateNonlinearTerm ( self,
x,
rowno,
ignerr,
thread )

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()

Reimplemented from pyconopt.ModelData.

Definition at line 61 of file qp2.py.

◆ evaluateNonlinearJacobian()

qp2.QPModelData.evaluateNonlinearJacobian ( self,
x,
rowno,
jacnum,
ignerr,
thread )

callback method for evaluating the jacobian for 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.
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.
Returns
a vector the length of jacnum that contains the jacobian values for the referenced elements.

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

Reimplemented from pyconopt.ModelData.

Definition at line 76 of file qp2.py.

◆ evaluateDirectionalSD()

qp2.QPModelData.evaluateDirectionalSD ( self,
x,
dx,
rowno,
jacnum,
thread )

computes the directional second derivative for a single constraint

Parameters
xthe solution vector that needs to be evaluated.
dxvector with the direction in which the directional second derivatives should be computed.
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.
threadthe index of the thread from which this method is being called from.

returns a vector for the directional second derivative. The length of the vector is the number of variables.

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

Reimplemented from pyconopt.ModelData.

Definition at line 91 of file qp2.py.