CBX: Python and Julia packages for consensus-based interacting particle methods - Archive ouverte HAL
Article Dans Une Revue Journal of Open Source Software Année : 2024

CBX: Python and Julia packages for consensus-based interacting particle methods

Résumé

We introduce CBXPy and ConsensusBasedX.jl, Python and Julia implementations of consensus-based interacting particle systems (CBX), which generalise consensus-based optimization methods (CBO) for global, derivative-free optimisation. The raison d'\^etre of our libraries is twofold: on the one hand, to offer high-performance implementations of CBX methods that the community can use directly, while on the other, providing a general interface that can accommodate and be extended to further variations of the CBX family. Python and Julia were selected as the leading high-level languages in terms of usage and performance, as well as their popularity among the scientific computing community. Both libraries have been developed with a common ethos, ensuring a similar API and core functionality, while leveraging the strengths of each language and writing idiomatic code.

Dates et versions

hal-04517041 , version 1 (22-03-2024)

Identifiants

Citer

Rafael Bailo, Alethea Barbaro, Susana Gomes, Konstantin Riedl, Tim Roith, et al.. CBX: Python and Julia packages for consensus-based interacting particle methods. Journal of Open Source Software, 2024, 9 (98), pp.6611. ⟨10.21105/joss.06611⟩. ⟨hal-04517041⟩
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