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arrival estimation algorithms for5g network and beyond
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Methods like `proximal` accept an `out` parameter. However, if used as inline functions as in `SPDHG` they may not work as expected.
https://github.com/TomographicImaging/CIL/blob/39b6f7a722afb6d5f0…
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At bit population stage, each bit should be checked for having a reserved space in order to be able to be hold by prehensor during cutting process. The size of reserved space should be a parameter. At…
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NlcOptim offers an interesting sqp algorithm. I forsee that it can be used for finding starting values for complex optimizations.
Moreover I anticipate that it can be used for constrained optimizat…
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Missing chapters to be completed:
- [ ] Advanced Topics (composable data processing systems, lightsabre)
- [ ] Algorithms and Indices (B Trees)
- [ ] Concurrency (clean up and clarify)
- [ ] Optim…
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### Scenario trees/lattice reading
Scenarios for multistage stochastic programs
https://www.karlin.mff.cuni.cz/~kopa/papers/vanc-ed.pdf
Overview of scenario tree generation methods, applied in …
msz13 updated
4 weeks ago
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# 🚀 Feature Request
I would like to optimize the hyperparameters on a custom environment for PE-TS and other algorithms.
## Motivation
How did you find the optimal hyperparameters for the alg…
ss555 updated
2 years ago
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Hi,
I have encountered an error while trying to sample from the prior of a Turing model with an `LKJCholesky` prior. The error seems to stem from `PDMats` calling `oneunit(Any)` at some point.
T…
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- Momentum shouldn't be stored in the layers any more. This will free us up to use a broader set of optimisation algorithms. We will however need to provide a class for fast updates and manipulations …
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`__getitem__` is another important property for our `DataContainer` class, https://numpy.org/doc/stable/reference/c-api/array.html
```python
import numpy as np
xnp = np.random.randint(1,1…