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The old implementation of COBYLA is buggy and challenging to maintain. Switch to the PRIMA implementation? #134

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zaikunzhang opened this issue Mar 9, 2023 · 2 comments

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@zaikunzhang
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Dear nloptr 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 late Professor M.J.D. Powell.

Thank you for making COBYLA, BOBYQA, and NEWUOA available in nloptr. I note that the current version is based on the original Fortran 77 implementation, the latter being not maintained anymore.

Although Powell's Fortran 77 implementation 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 at the end of this message (not all of them concern nloptr).

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.


Issues and requests raised due to bugs in the Fortran 77 implementation (and translation) of Powell's solvers

@aadler
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aadler commented Apr 25, 2023

Hello @zaikunzhang. The nloptr package is merely an interface between the NLOPT algorithm suite and the R statistical language. The maintainer of the NLOPT algorithms themselves is @stevengj. I see you already opened an issue at NLOPT itself, so I would recommend to @astamm that this be closed as out-of-scope. Should the source code for NLOPT itself change, we will need to ensure that it flows properly through nloptr. Thank you.

@astamm
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astamm commented Jun 2, 2023

I agree that this is out-of-scope. Closing this issue. Thanks all.

@astamm astamm closed this as completed Jun 2, 2023
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@aadler @astamm @zaikunzhang and others