Behavior of Newton-Type Methods Near Critical Solutions of Nonlinear Equations with Semismooth Derivatives
Andreas Fischer (),
Alexey F. Izmailov () and
Mario Jelitte ()
Additional contact information
Andreas Fischer: Technische Universität Dresden
Alexey F. Izmailov: Lomonosov Moscow State University
Mario Jelitte: Technische Universität Dresden
Journal of Optimization Theory and Applications, 2024, vol. 203, issue 3, No 4, 2179-2205
Abstract:
Abstract Having in mind singular solutions of smooth reformulations of complementarity problems, arising unavoidably when the solution in question violates strict complementarity, we study the behavior of Newton-type methods near singular solutions of nonlinear equations, assuming that the operator of the equation possesses a strongly semismooth derivative, but is not necessarily twice differentiable. These smoothness restrictions give rise to peculiarities of the analysis and results on local linear convergence and asymptotic acceptance of the full step, the issues addressed in this work. Moreover, we consider not only the basic Newton method, but also some stabilized versions of it intended for tackling singular (including nonisolated) solutions. Applications to nonlinear complementarity problems are also dealt with.
Keywords: Nonlinear equation; Constrained equation; Strongly semismooth derivative; Singular solution; Critical solution; 2-Regularity; Perturbed Newton method; Acceptance of the full step; Extrapolation; Nonlinear complementarity problem; 49J52; 65J15; 65K15; 90C33 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10957-023-02350-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:203:y:2024:i:3:d:10.1007_s10957-023-02350-w
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-023-02350-w
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().