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I used BFGS, because that is what is on CompPhys repo. Did anyone use something else?
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I'd suggest to change the standard optimization method to Nelder-Mead for all models. BFGS breaks if the LL returns NA/Inf due to numerical stability issues which seem to arise rather frequently in pr…
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Hello,
Thank you for making Jax!
I recently compared the jax-based BFGS minimize with the scipy-based BFGS minimize on an astronomical scene modeling demo of 3 parameters. I find that the Jax versi…
gully updated
3 years ago
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The API for [lbfgs_minimize](https://www.tensorflow.org/probability/api_docs/python/tfp/optimizer/lbfgs_minimize) reports that any arbitrary number of batch dimensions are supported, but this is not t…
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longdeMacBook-Pro openlam % lam-opt relax -i examples/data -m dp0529.pth
To get the best performance, it is recommended to adjust the number of threads by setting the environment variables OM…
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sppb.msm
ghost updated
6 months ago
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All the methods in this block appear as a blockquote.
```
method : str or callable, optional
Type of solver. Should be one of
- 'Nelder-Mead' :ref:`(see here) `
…
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Hello author, I am currently studying your Jax Reaxff and I am not familiar with the L-BFGS-B and SLSQP methods. I have seen that your example submission command is
jaxreaxff --init_ FF Datasets/co…
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What do I mean here?
```jl
julia> let data = rand()
f2((;β), x) = β⋅x
θ₀ = (;β=1.0)
vars = OptArgs(@o _.β)
optfunc = OptimizationFunction(f2, Optim…
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### Discussed in https://github.com/lululxvi/deepxde/discussions/1665
Originally posted by **rapham** March 4, 2024
Hello everyone,
I am using the L-BFGS optimizer to solve a forward PDE p…