|
| | __init__ (self) |
| |
| | buildModel (self, T, xkeep, xstat, estat) |
| | adding the variables and constraints to the model
|
| |
| | evaluateNonlinearTerm (self, x, rowno, ignerr, thread) |
| | callback method for evaluating the nonlinear terms in a given row
|
| |
| | evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread) |
| | callback method for evaluating the jacobian for the nonlinear terms in a given row
|
| |
| | evaluateDirectionalSD (self, x, dx, rowno, jacnum, thread) |
| | computes the directional second derivative for a single constraint
|
| |
| | evaluateSDLagrangian (self, x, u, hessianrow, hessiancol) |
| | Computes and returns the numerical values of the Lagrangian of the Hessian.
|
| |
Definition at line 18 of file pinadd2ddir.py.
◆ __init__()
| pinadd2ddir.PinAdd2DDirModelData.__init__ |
( |
| self | ) |
|
◆ CONS_SEQ
| pinadd2ddir.PinAdd2DDirModelData.CONS_SEQ = 0 |
◆ CONS_DREV
| pinadd2ddir.PinAdd2DDirModelData.CONS_DREV = 1 |
| pinadd2ddir.PinAdd2DDirModelData.T = 0 |
◆ vartd
| list pinadd2ddir.PinAdd2DDirModelData.vartd = [] |
◆ varcs
| list pinadd2ddir.PinAdd2DDirModelData.varcs = [] |
◆ vars
| list pinadd2ddir.PinAdd2DDirModelData.vars = [] |
◆ vard
| list pinadd2ddir.PinAdd2DDirModelData.vard = [] |
◆ varr
| list pinadd2ddir.PinAdd2DDirModelData.varr = [] |
◆ varp
| list pinadd2ddir.PinAdd2DDirModelData.varp = [] |
◆ varrev
| list pinadd2ddir.PinAdd2DDirModelData.varrev = [] |
◆ consttdeq
| list pinadd2ddir.PinAdd2DDirModelData.consttdeq = [] |
◆ constseq
| list pinadd2ddir.PinAdd2DDirModelData.constseq = [] |
◆ constcseq
| list pinadd2ddir.PinAdd2DDirModelData.constcseq = [] |
◆ constdeq
| list pinadd2ddir.PinAdd2DDirModelData.constdeq = [] |
◆ constreq
| list pinadd2ddir.PinAdd2DDirModelData.constreq = [] |
◆ constdrev
| list pinadd2ddir.PinAdd2DDirModelData.constdrev = [] |
◆ consmapping
| dict pinadd2ddir.PinAdd2DDirModelData.consmapping = {} |
◆ hessianstart
| list pinadd2ddir.PinAdd2DDirModelData.hessianstart = [] |
The documentation for this class was generated from the following file: