Weak subgradient method with path based target level algorithm for nonconvex optimization

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dc.contributor.authorYalçın, Gülçin Dinç
dc.contributor.departmentOthertr_TR
dc.contributor.facultyOthertr_TR
dc.date.accessioned2022-12-27T07:43:53Z
dc.date.available2022-12-27T07:43:53Z
dc.date.issued2022
dc.description.abstractWe study a new version of the weak subgradient method, recently developed by Dinc Yalcin and Kasimbeyli for solving nonsmooth, nonconvex problems. This method is based on the concept of using any weak subgradient of the objective of the problem at the currently generated point with a version of the dynamic stepsize in order to produce a new point at each iteration. The target value needed in the dynamic stepsize is defined using a path based target level (PBTL) algorithm to ensure the optimal value of the problem is reached. We analyze the convergence and give an estimate of the convergence rate of the proposed method. Furthermore, we demonstrate the performance of the proposed method on nonsmooth, nonconvex test problems, and give the computational results by comparing them with the approximately optimal solutions.tr_TR
dc.description.indexTrdizintr_TR
dc.identifier.endpage394tr_TR
dc.identifier.issn/e-issn1303-5991
dc.identifier.issue2tr_TR
dc.identifier.startpage377tr_TR
dc.identifier.urihttps://doi.org/10.31801/cfsuasmas.826316tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/86487
dc.identifier.volume71tr_TR
dc.language.isoentr_TR
dc.publisherAnkara Üniversitesitr_TR
dc.relation.isversionof10.31801/cfsuasmas.826316tr_TR
dc.relation.journalCommunications, Series A1:Mathematics and Statisticstr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıtr_TR
dc.subjectWeak subgradient, nonconvex optimization, nonsmooth optimization, path based target level algoirthmtr_TR
dc.titleWeak subgradient method with path based target level algorithm for nonconvex optimizationtr_TR
dc.typeArticletr_TR

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Cilt:71 Sayı:02 (2022)