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Comparative performance analysis of some accelerated and hybrid accelerated gradient models

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Authors
Petrović, Milena
Ivanović, Milica
Đorđević, Marijana
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Abstract
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.
URI
https://platon.pr.ac.rs/handle/123456789/1227
DOI
10.5937/univtho9-18174
M category
M53
openAccess
M53
openAccess
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