CONOPT
|
Functions | |
qp1.QPModelData.buildModel (self) | |
adding the variables and constraints to the model | |
qp1.QPModelData.evaluateNonlinearTerm (self, x, rowno, ignerr, thread) | |
callback method for evaluating the nonlinear terms in a given row | |
qp1.QPModelData.evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread) | |
callback method for evaluating the jacobian for the nonlinear terms in a given row | |
The current model is a simple QP model with a sparse Q matrix, bounded variables, and one constraint.
The number of superbasic variables is larger than the default limit of 500 and the model does not solve nicely. To solve it faster, there are these possibilities:
For more information about the individual callbacks, please have a look at the source code.
qp1.QPModelData.buildModel | ( | self | ) |
qp1.QPModelData.evaluateNonlinearTerm | ( | self, | |
x, | |||
rowno, | |||
ignerr, | |||
thread ) |
callback method for evaluating the nonlinear terms in a given row
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. |
Notes: an error in the evaluation is reported by calling errorInEvaluation()
Reimplemented from pyconopt.ModelData.
qp1.QPModelData.evaluateNonlinearJacobian | ( | self, | |
x, | |||
rowno, | |||
jacnum, | |||
ignerr, | |||
thread ) |
callback method for evaluating the jacobian for the nonlinear terms in a given row
x | the solution vector that needs to be evaluated. |
rowno | the number for the row in which the nonlinear term exists. |
jacnum | vector with a list of column numbers for the nonlinear nonzero Jacobian elements in the row. |
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. |
Notes: an error in the evaluation is reported by calling errorInEvaluation()
Reimplemented from pyconopt.ModelData.