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This example fails:
```julia
using OptimalControl
ocp = Model()
state!(ocp, 2) # dimension of the state
control!(ocp, 1) # dimension of the control
time!(ocp, [0, 1]) # time interval
cons…
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Similar to 2D flow benchmarking, we need a few cases for benchmarking flow accuracy. In particular, I will perform three cases, covering cases for pure flow, flow with a rigid body (non-moving lagrang…
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## Question
Greetings,
I was looking to run a comparison against the MMA method and noticed ROL has an objective interface implementing it. Has this interface been tested successfully before? if s…
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**Submitting author:** @hkjeldsberg (Henrik Aasen Kjeldsberg)
**Repository:** https://github.com/KVSlab/VaMPy
**Branch with paper.md** (empty if default branch): joss-paper
**Version:** v1.0.1
**Edito…
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**Submitting author:** @bpm5026 (Brandon Montemuro)
**Repository:** https://github.com/SeaIce-Math/SubZero
**Branch with paper.md** (empty if default branch): JOSS
**Version:** v1.0.4
**Editor:** @hug…
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Hi,
thanks for your great work! I received the following error:
'''
--------- APM Model Size ------------
Each time step contains
Objects : 0
Constants : …
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Running the following code in 3.6.0 and 3.6.1 results in different convergence of IPOPT #3121
```python
from casadi import *
from numpy import *
from pylab import *
# Example taken from IDAS…
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It would be nice to get an API to get information like the Lagrange Multiplier out of the result.
Given that each algorithm implements its own return types, this would be needed to go into Core an…
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Right now L1 regularization is implemented with a smoothed V-curve potential. It would be better to use a LASSO approach, which should reduce over-stepping and actually encourage parameters to stay ne…
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Great job. However, when I train to the 3rd epoch in the QNLI task, I encounter the following problem, but the CoLA or Squad tasks do not encounter this problem. Do you have any suggestions? I will be…