Extending the Convexity of Nonlinear Image of a Ball Appearing in Optimization

dc.contributor.authorArgyros, I.K.
dc.contributor.authorCho, Y.J.
dc.contributor.authorGeorge, S.
dc.date.accessioned2026-02-05T09:29:05Z
dc.date.issued2020
dc.description.abstractLet X, Y be Hilbert spaces and F: X ? Y be Fréchet differentiable. Suppose that F? is center-Lipschitz on U(w, r) and F?(w) be a surjection. Then, S<inf>1</inf> = F(U(w, ?<inf>1</inf>)) is convex where ?<inf>1</inf> ? r. The set S<inf>1</inf> contains the corresponding set given in [18] under the Lipschitz condition. Numerical examples where the old conditions are not satisfied but the new conditions are satisfied are provided in this paper. © 2020 Ioannis K. Argyros, et al. DOI: https://doi.o.
dc.identifier.citationContemporary Mathematics (Singapore), 2020, 1, 4, pp. 209-214
dc.identifier.issn27051064
dc.identifier.urihttps://doi.org/10.37256/cm.142020405
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/24105
dc.publisherUniversal Wiser Publisher
dc.subjectcontrol theory
dc.subjectconvexity
dc.subjectimage of a ball
dc.subjectNewton’s method
dc.subjectoptimization
dc.titleExtending the Convexity of Nonlinear Image of a Ball Appearing in Optimization

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