PDFO @PDFO_Software

PRIMA 0.6 is released. github.com/libprima/prima…

Stress test of PRIMA on excessively large problems: github.com/sprimalib/prim… Code must be battle-tested before becoming software.

PRIMA ( github.com/libprima/prima ) is the top 1 trending GitHub repository in Fortran today (19 May 2023). Thank you very much for your support!

For the second time in a week, PRIMA ( github.com/libprima/prima ) is on the front page of Hacker News! The first time was 16 May. Check it at news.ycombinator.com/news Thank everyone for the support and fantastic feedback!

PRIMA (github.com/libprima/prima) is listed as a Trending Project on GitHub! github.com/trending/fortr…

github.com/libprima/prima

PRIMA is on the front page of Hacker News: news.ycombinator.com/item?id=359599…

Optimization Without Using Derivatives: the PRIMA Package, its Fortran Implementation, and Its Inclusion in SciPy fortran-lang.discourse.group/t/optimization…

SciPy: The Fortran 77 implementation of COBYLA is buggy and challenging to maintain. Switch to the PRIMA ( libprima.net ) implementation? github.com/scipy/scipy/is…

This is fantastic! I look forward to seeing LFortran compiling PRIMA ( libprima.net ), the inclusion of PRIMA into SciPy is under discussion and the SciPy contributors are positive about it ( github.com/scipy/scipy/is… ).

LFortran @lfortranorg

2 years ago

This is fantastic! I look forward to seeing LFortran compiling PRIMA ( libprima.net ), the inclusion of PRIMA into SciPy is under discussion and the SciPy contributors are positive about it ( github.com/scipy/scipy/is… ).

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PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation of Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. github.com/libprima/prima

MatCUTEst is a package for facilitating the usage of CUTEst (github.com/ralna/CUTEst) in MATLAB on Linux. github.com/equipez/matcut…

PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers arxiv.org/abs/2302.13246

PDFO: Powell's Derivative-Free Optimization solvers github.com/pdfo/pdfo

constrained optimization problems that admit equality and inequality constraints. An important feature of COBYQA is that it always respects bound constraints, if any, which is motivated by applications where the objective function is [6/9 of arxiv.org/abs/2210.12018…]

space of a surface. Finally, we elaborate on developing our new DFO method, named COBYQA after Constrained Optimization BY Quadratic Approximations. This derivative-free trust-region SQP method is designed to tackle nonlinearly [5/9 of arxiv.org/abs/2210.12018…]

undefined when bounds are violated. We expose extensive numerical experiments of COBYQA, showing evident advantages of COBYQA compared with Powell's DFO solvers. These experiments demonstrate that COBYQA is an excellent successor to [7/9 of arxiv.org/abs/2210.12018…]

Tom M. Ragonneau: Model-Based Derivative-Free Optimization Methods and Software arxiv.org/abs/2210.12018 arxiv.org/pdf/2210.12018