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| __init__ (self) |
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| buildModel (self) |
| adding the variables and constraints to the model
|
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| evaluateNonlinearTerm (self, x, rowno, ignerr, thread) |
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| 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
|
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| initialiseAutoDiff (self) |
| initialises the automatic differentiation
|
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| evaluateNonlinearTerm (self, x, rowno, ignerr, thread) |
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| evaluateNonlinearJacobian (self, x, rowno, jacnum, ignerr, thread) |
|
|
float | Al = 0.16 |
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float | Ak = 2.0 |
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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