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Park, Jongho (2022) Additive Schwarz methods for convex optimization with backtracking. Computers & Mathematics with Applications, 113. 332-344 doi:10.1016/j.camwa.2022.03.033

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Reference TypeJournal (article/letter/editorial)
TitleAdditive Schwarz methods for convex optimization with backtracking
JournalComputers & Mathematics with Applications
AuthorsPark, JonghoAuthor
Year2022 (May)Volume113
PublisherElsevier BV
DOIdoi:10.1016/j.camwa.2022.03.033Search in ResearchGate
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Mindat Ref. ID13450259Long-form Identifiermindat:1:5:13450259:7
GUID0
Full ReferencePark, Jongho (2022) Additive Schwarz methods for convex optimization with backtracking. Computers & Mathematics with Applications, 113. 332-344 doi:10.1016/j.camwa.2022.03.033
Plain TextPark, Jongho (2022) Additive Schwarz methods for convex optimization with backtracking. Computers & Mathematics with Applications, 113. 332-344 doi:10.1016/j.camwa.2022.03.033
In(2022) Computers & Mathematics with Applications Vol. 113. Elsevier BV

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Cho, D., Pavarino, L.F., Scacchi, S. (2021) Overlapping Additive Schwarz preconditioners for isogeometric collocation discretizations of linear elasticity. Computers & Mathematics with Applications, 93. 66-77 doi:10.1016/j.camwa.2021.04.007
Park, Jongho (2024) Additive Schwarz Methods for Semilinear Elliptic Problems with Convex Energy Functionals: Convergence Rate Independent of Nonlinearity. SIAM Journal on Scientific Computing, 46 (3) doi:10.1137/23m159545x
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