2024
DOI: 10.4208/jcm.2301-m2022-0106
|View full text |Cite
|
Sign up to set email alerts
|

Nonmonotone Local Minimax Methods for Finding Multiple Saddle Points

Abstract: In this paper, by designing a normalized nonmonotone search strategy with the Barzilai-Borwein-type step-size, a novel local minimax method (LMM), which is a globally convergent iterative method, is proposed and analyzed to find multiple (unstable) saddle points of nonconvex functionals in Hilbert spaces. Compared to traditional LMMs with monotone search strategies, this approach, which does not require strict decrease of the objective functional value at each iterative step, is observed to converge faster wit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 45 publications
(120 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?