climt
prima
| climt | prima | |
|---|---|---|
| 1 | 14 | |
| 169 | 345 | |
| 0.0% | 4.1% | |
| 5.5 | 7.8 | |
| about 1 year ago | 11 days ago | |
| Fortran | Fortran | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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climt
prima
-
PyPy has been working for me for several years now
I just recently made some Python wrappers for a Modern Fortran optimization library for derivative free optimization. https://github.com/libprima/prima
It basically had to go through Fortran -> C -> C++ (with pybind11) -> Python. At one point we had a slightly simpler setup with Fortran -> C -> Python (with ctypes), but ended up going with pybind11 after some discussion with the SciPy folks who steered us away from ctypes.
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Prima has got a Python interface
The developer of PRIMA here.
If you use method "cobyla" from scipy.optimize.minimize, then PRIMA already performs far better (in terms of the number of function evaluations). See the comparison at https://github.com/libprima/prima#improvements .
The bugs are indeed only a secondary reason: they can only be triggered under special situations. They may not affect your usage at all (when it does affect you, the consequence is catastrophophic).
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Nagfor supports half-precision floating-point numbers
1. nagfor Release 7.1(Hanzomon) Build 7149 released on March 5, 2024, fixed all the bugs spotted, but introduced an ICE when compiling PRIMA ( http://www.libprima.net ). The ICE has nothing to do with half-precision real, because it occurs when PRIMA is configured to use single or double precision. It can be reproduced by
```
git clone https://github.com/libprima/prima.git && cd prima && git checkout ec42cb0 && cd fortran/examples/lincoa && make ntest
```
2. nagfor 7.2 released on 6 March, 2024 included neither the ICE nor the fixes for the bugs.
- PRIMA: Solving general nonlinear optimization problems without derivatives
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What are you rewriting in rust?
My goal is to rewrite this library for derivative-free optimization: https://github.com/libprima/prima
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SciPy: Interested in adopting PRIMA, but little appetite for more Fortran code
A native port is indeed planned. However, since we are talking about a project of about 10K lines of code, such a port will not be delivered very soon.
In fact, native implementations of PRIMA in Python, MATLAB, C++, Julia, and R will all be done in the future. See https://github.com/libprima/prima#other-languages . But it takes time. PRIMA has been a one-man project since it started three yearss ago. Community help is greatly needed.
Thanks.
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Optimization Without Using Derivatives: the PRIMA Package, its Fortran Implementation, and Its Inclusion in SciPy - Announcements
GitHub repo of the project: https://github.com/libprima/prima
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Optimization Without Derivatives: Prima Fortran Version and Inclusion in SciPy
It sounds like this was a difficult task. The motivation to fulfill Prof. Powell's request and help the community of derivative-free optimization users must have been strong. Congratulations on your achievement!
From the GitHub README:
> In the past years, while working on PRIMA, I have spotted a dozen of bugs in reputable Fortran compilers and two bugs in MATLAB. Each of them represents days of bitter debugging, which finally led to the conclusion that it was not a problem in my code but a flaw in the Fortran compilers or in MATLAB. From a very unusual angle, this reflects how intensive the coding has been.
> The bitterness behind this "fun" fact is exactly why I work on PRIMA: I hope that all the frustrations that I have experienced will not happen to any user of Powell's methods anymore. I hope I am the last one in the world to decode a maze of 244 GOTOs in 7939 lines of Fortran 77 code — I have been doing this for three years and I do not want anyone else to do it again.
https://github.com/libprima/prima#a-fun-fact
- Optimization Without Using Derivatives
What are some alternatives?
paramonte - ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
pybobyqa - Python-based Derivative-Free Optimization with Bound Constraints
LBLRTM - Line-By-Line Radiative Transfer Model by Atmospheric and Environmental Research
stdlib - Fortran Standard Library
E3SM - Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.
Gradient-Free-Optimizers - Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.