Number of the records: 1  

On (local) analysis of multifunctions via subspaces contained in graphs of generalized derivatives

  1. 1.
    SYSNO ASEP0557191
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleOn (local) analysis of multifunctions via subspaces contained in graphs of generalized derivatives
    Author(s) Gfrerer, H. (AT)
    Outrata, Jiří (UTIA-B) RID, ORCID
    Article number125895
    Source TitleJournal of Mathematical Analysis and Applications. - : Elsevier - ISSN 0022-247X
    Roč. 508, č. 2 (2022)
    Number of pages37 s.
    Publication formPrint - P
    Languageeng - English
    CountryUS - United States
    KeywordsGeneralized derivatives ; Second-order theory ; Strong metric (sub)regularity ; Semismoothness⁎
    Subject RIVBA - General Mathematics
    OECD categoryPure mathematics
    R&D ProjectsGF21-06569K GA ČR - Czech Science Foundation (CSF)
    Method of publishingOpen access
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000795432700023
    EID SCOPUS85120931541
    DOI10.1016/j.jmaa.2021.125895
    AnnotationThe paper deals with a comprehensive theory of mappings, whose local behavior can be described by means of linear subspaces, contained in the graphs of two (primal and dual) generalized derivatives. This class of mappings includes the graphically Lipschitzian mappings and thus a number of multifunctions, frequently arising in optimization and equilibrium problems. The developed theory makes use of new generalized derivatives, provides us with some calculus rules and reveals a number of interesting connections. In particular, it enables us to construct a modification of the semismooth* Newton method with improved convergence properties and to derive a generalization of Clarke's Inverse Function Theorem to multifunctions together with new efficient characterizations of strong metric (sub)regularity and tilt stability.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2023
    Electronic addresshttps://www.sciencedirect.com/science/article/pii/S0022247X2100977X?via%3Dihub
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.