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Description
Is your feature request related to a problem? Please describe.
Dear SciPy maintainers,
This is Dr. Zaikun Zhang from the Hong Kong Polytechnic University. Together with Professor N.I.M. Gould, I am responsible for maintaining the derivative-free optimization solvers of the late Professor M.J.D. Powell.
Thank you for making COBYLA available in SciPy. I note that the current version is based on the original Fortran 77 implementation, which is not maintained anymore.
Although the Fortran 77 code is truly a masterpiece, it contains many bugs, most of which are due to the language itself. For example, see Section 4.4 of our recent paper and the GitHub issues / requests listed below (not all of them concern SciPy).
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The Fortran 77 solvers may get stuck in infinite loops.
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The Fortran 77 solvers may crash with segmentation faults
due to uninitialized variables that are used as indices. -
Fortran 77 COBYLA may not return the best point that is evaluated; sometimes, the returned point can have a
large constraint violation even though the starting point is feasible.
Describe the solution you'd like.
To avoid the problems originating from the Fortran 77 code, I suggest you use the PRIMA implementation of Powell's solvers. PRIMA provides the reference implementation for Powell's renowned derivative-free optimization methods, namely COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. The "P" in the name stands for Powell, and "RIMA" is an acronym for "Reference Implementation with Modernization and Amelioration".
PRIMA provides the modern implementation of the solvers in Fortran 2008. It fixes bugs in the original Fortran 77 code. In addition, it introduces improvements that boost the performance in terms of the number of function evaluations, which is the standard measure of computational costs in derivative-free optimization.
See the GitHub repo of PRIMA for more information. I will be glad to provide assistance if help is needed.
Thanks.
Describe alternatives you've considered.
No response