Results 51 to 60 of about 1,319 (105)

Consensus-based optimisation with truncated noise

open access: yesEuropean Journal of Applied Mathematics
Consensus-based optimisation (CBO) is a versatile multi-particle metaheuristic optimisation method suitable for performing non-convex and non-smooth global optimisations in high dimensions.
Massimo Fornasier   +3 more
doaj   +1 more source

The mathematics of adversarial attacks in AI – why deep learning is unstable despite the existence of stable neural networks

open access: yesEuropean Journal of Applied Mathematics
The unprecedented success of deep learning (DL) makes it unchallenged when it comes to classification problems. However, it is well established that the current DL methodology produces universally unstable neural networks (NNs).
Alexander Bastounis   +2 more
doaj   +1 more source

Accelerated Linearized Bregman Method [PDF]

open access: yes, 2011
In this paper, we propose and analyze an accelerated linearized Bregman (ALB) method for solving the basis pursuit and related sparse optimization problems.
Goldfarb, Donald, Huang, Bo, Ma, Shiqian
core   +1 more source

Optimization applications of Goldbach's conjecture. [PDF]

open access: yesHeliyon, 2023
Lin BMT, Lin SM, Shyu SJ.
europepmc   +1 more source

A comprehensive view on optimization: reasonable descent [PDF]

open access: yes
Reasonable descent is a novel, transparent approach to a well-established field: the deep methods and applications of the complete analysis of continuous optimization problems.
Brinkhuis, J.
core   +1 more source

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