|
| | __init__ (self) |
| |
| | buildModel (self) |
| | adding the variables and constraints to the model
|
| |
| | evaluateNonlinearTerm (self, x, rowno, ignerr, thread) |
| |
| | evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread) |
| |
| | __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
|
| |
| | evaluateNonlinearTerm (self, x, rowno, ignerr, thread) |
| |
| | evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread) |
| |
|
| float | Al = 0.16 |
| |
| float | Ak = 2.0 |
| |
| float | Ainp = 0.16 |
| |
| float | Rho = 1.0 |
| |
| float | K = 4.0 |
| |
Definition at line 16 of file tutorial.py.
◆ __init__() [1/2]
| tutorial.TutModelData.__init__ |
( |
| self | ) |
|
◆ __init__() [2/2]
| tutorial.TutModelData.__init__ |
( |
| self | ) |
|
◆ Al
| float tutorial.TutModelData.Al = 0.16 |
◆ Ak
| float tutorial.TutModelData.Ak = 2.0 |
◆ Ainp
| float tutorial.TutModelData.Ainp = 0.16 |
◆ Rho
| float tutorial.TutModelData.Rho = 1.0 |
| float tutorial.TutModelData.K = 4.0 |
The documentation for this class was generated from the following files:
- /builds/devel/conopt/conopt/examples/Python_1thread/tutorial.py
- /builds/devel/conopt/conopt/examples/AD/Python_1thread/tutorial.py