Comparative performance analysis of some accelerated and hybrid accelerated gradient models

Autor:	Petrović Milena, Ivanović Milica, Ðorðević Marijana
Jazyk:	English<br />Serbian
Rok vydání:	2019
Předmět:	Gradient descent methods Line search Convergence rate Science
Zdroj:	The University Thought: Publication in Natural Sciences, Vol 9, Iss 1, Pp 57-61 (2019)
Druh dokumentu:	article
ISSN:	1450-7226 2560-3094
Popis:	We analyze a performance profile of several accelerated and hybrid accelerated methods. All comparative methods are at least linearly convergent and have satisfied numerical characteristics regarding tested metrics: number of iterations, CPU time and number of function evaluations. Among the chosen set of methods we numerically show which one is the most efficient and the most effective. Therewith, we derived a conclusion about what type of method is more preferable to use considering analyzed metrics.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/f0463b40112a4c3d9ad1475195f83d68 Zobrazit plný text záznamu View record in DOAJ