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In a not-so-recent commit, the error message related to a double reset of the history of the BFGS algorithm was changed _in some cases_ in the output of Quantum ESPRESSO to print `exiting` instead of …
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If you have any comments or questions on the method, please leave them here.
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Hello developers,
I am trying optimizers in python-ace, and I met a problem when using trf/lm/dogbox optimizer. Here is the error information when I set optimizer as 'lm' for the example of Cu-I:
``…
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Has anyone worked on using a limited-memory BFGS with OSQP instead of a full Hessian?
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Reproducible example:
```
library(MASS)
library(GMCM)
generate_sigma
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The title is pretty self-explanatory. I think the setup of this project is great and I would like to add a great optimizer to it. I'll start to work on this if no one else has.
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According to recent [literature](https://arxiv.org/abs/2205.07430), the L-BFGS-B optimizer seems to be very powerful for training PINNs, overperforming stochastic optimizers (Adam, ect.) -- the L-BFGS…
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As pointed out by @Zilleplus [here](https://github.com/kul-forbes/drn/commit/a9d8c0d306ca365c8d2de1cf45b91fae812108dc#commitcomment-29951296) the L-BFGS mex function should be fixed as in [here](https…
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It seems that Wikipedia's explanation about L-BFGS algorithm is not enough, so I found a reference from MSRA(Microsoft Research Asia) about implementing it.
http://research.microsoft.com/en-us/um/peop…
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When the input vector is large, BFGS and SR1 HessianUpdateStrategy give memory error. Is it possible to use L-BFGS for the Hessian update, which should reduce the memory requirements for Hessian.