domcoltd

5 ms·

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US authorities intend to restrict Chinese companies' access to cloud services(technewsspace.com)
3 points by domcoltd 3y ago|2 comments
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by domcoltd 3y ago
Hopefully, the SciPy community can stay open-minded about modern Fortran libraries. Modern Fortran is quite different from Fortran 77, while being as powerful, if not more. In addition, there has been a significant community effort on impro
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by domcoltd 3y ago
Comment from Reddit: https://www.reddit.com/r/programming/comments/13k74ro/optimi... “Finally, a fortran package not written in Fortran77 but one trying to be approachable and maintainable rather than th
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by domcoltd 3y ago
Indeed, the author mentions many bugs of the SciPy gradient-free solvers in the readme of the repo of Prima.
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by domcoltd 3y ago
The extensive tests made by GitHub actions are simply amazing.
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by domcoltd 3y ago
> DFOs tend to have issues past a few dozens variables. It is interesting to check the results in section 5.1 of the following paper: https://arxiv.org/pdf/2302.13246.pdf where these algorithms are compared with fin
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by domcoltd 3y ago
Agreed. If (approximate) 1st-order information can be obtained in any way (even by * carefully* deployed finite difference), then gradient-based methods should be used. It is wrong to use DFO in such cases. > DFOs tend to have issues pa
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by domcoltd 3y ago
Good coffee is needed to understand Powell’s papers on these algorithms. If you don’t have, section 3 of the following paper is a good place to start with: https://arxiv.org/pdf/2302.13246.pdf
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by domcoltd 3y ago
GitHub repo of the project: https://github.com/libprima/prima