|
| | __init__ (self) |
| |
| | buildModel (self) |
| | adding the variables and constraints to the model
|
| |
| | tapeFunction (self, x, rowno) |
| | evaluates the nonlinear function and records a tape is necessary
|
| |
| | initialiseAutoDiff (self) |
| | initialises the automatic differentiation
|
| |
| | computeHessianStructure (self) |
| | uses the automatic differentiation methods to compute the Hessian structure
|
| |
| | evaluateNonlinearTerm (self, x, rowno, ignerr, thread) |
| |
| | evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread) |
| |
| | evaluateSDLagrangian (self, x, u, hessianrow, hessiancol) |
| |
|
| float | Al = 0.16 |
| |
| float | Ak = 2.0 |
| |
| float | Ainp = 0.16 |
| |
| float | Rho = 1.0 |
| |
| float | K = 4.0 |
| |
Definition at line 21 of file tutorial2str.py.
◆ __init__()
| tutorial2str.TutModelData.__init__ |
( |
| self | ) |
|
◆ Al
| float tutorial2str.TutModelData.Al = 0.16 |
◆ Ak
| float tutorial2str.TutModelData.Ak = 2.0 |
◆ Ainp
| float tutorial2str.TutModelData.Ainp = 0.16 |
◆ Rho
| float tutorial2str.TutModelData.Rho = 1.0 |
| float tutorial2str.TutModelData.K = 4.0 |
The documentation for this class was generated from the following file: