PDFO

PDFO: Powell's Derivative-Free Optimization solvers. Homepage:

[PDFO @PDFO_Software]

PDFO version 1.3 is released.

GitHub: https://t.co/HHTba97zP9

Python: python3 -m pip install pdfo

MATLAB: https://t.co/qk8U4Onq97

[PRIMA @LibPrima]

PRIMA 0.6 is released.

https://t.co/a4tKpcjIHK

[PRIMA @LibPrima]

Stress test of PRIMA on excessively large problems:

https://t.co/MGVGgR6RIm

Code must be battle-tested before becoming software.

[PRIMA @LibPrima]

PRIMA ( https://t.co/COoqpAyxHp ) is the top 1 trending GitHub repository in Fortran today (19 May 2023). Thank you very much for your support!

[PRIMA @LibPrima]

For the second time in a week, PRIMA ( https://t.co/COoqpAyxHp ) is on the front page of Hacker News! The first time was 16 May. Check it at

https://t.co/c0WTtBH0us

Thank everyone for the support and fantastic feedback!

[PRIMA @LibPrima]

PRIMA (https://t.co/COoqpAyxHp) is listed as a Trending Project on GitHub!

https://t.co/XO0YZCxVQK

[PRIMA @LibPrima]

https://t.co/COoqpAyxHp

[PRIMA @LibPrima]

PRIMA is on the front page of Hacker News:

https://t.co/mO0YwLN9Ul

[PRIMA @LibPrima]

Optimization Without Using Derivatives: the PRIMA Package, its Fortran Implementation, and Its Inclusion in SciPy https://t.co/YEMHtN7Mw2

[PRIMA @LibPrima]

SciPy: The Fortran 77 implementation of COBYLA is buggy and challenging to maintain. Switch to the PRIMA ( https://t.co/QFa0iVQGLX ) implementation?
https://t.co/mFjksoVE5T

[PRIMA @LibPrima]

This is fantastic! I look forward to seeing LFortran compiling PRIMA ( https://t.co/QFa0iVQGLX ), the inclusion of PRIMA into SciPy is under discussion and the SciPy contributors are positive about it ( https://t.co/mFjksoVE5T ).

[PRIMA @LibPrima]

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.
https://t.co/COoqpAyxHp

[PDFO @PDFO_Software]

MatCUTEst is a package for facilitating the usage of CUTEst (https://t.co/LGuzLUqAzz) in MATLAB on Linux.

https://t.co/UzchUcI4vx

[PDFO @PDFO_Software]

PDFO: A Cross-Platform Package for Powell's Derivative-Free Optimization Solvers
https://t.co/FlkpJTJwgZ

[PDFO @PDFO_Software]

PDFO: Powell's Derivative-Free Optimization solvers

https://t.co/HHTba97zP9

[arXiv math.OC Optimization and Control @mathOCb]

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 https://t.co/g2nzzLuJKt]

[arXiv math.OC Optimization and Control @mathOCb]

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 https://t.co/g2nzzLuJKt]

[arXiv math.OC Optimization and Control @mathOCb]

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 https://t.co/g2nzzLuJKt]

[arXiv math.OC Optimization and Control @mathOCb]

Tom M. Ragonneau: Model-Based Derivative-Free Optimization Methods and Software https://t.co/sF7Jd8p2Vx https://t.co/NAdKSeUJTv