Extended Newton-type method for nonsmooth generalized equation under \((n, \alpha)\)-point-based approximation
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Publication:2693268
DOI10.1155/2022/7108996OpenAlexW4304127791MaRDI QIDQ2693268
Publication date: 20 March 2023
Published in: International Journal of Mathematics and Mathematical Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2022/7108996
Newton-type methods (49M15) Mathematical programming (90Cxx) Equations and inequalities involving nonlinear operators (47Jxx)
Cites Work
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- Convergence analysis of the Gauss-Newton-type method for Lipschitz-like mappings
- Convergence analysis of extended Hummel-Seebeck-type method for solving variational inclusions
- A new proof of Robinson's homeomorphism theorem for pl-normal maps
- Newton's method for a class of nonsmooth functions
- Local convergence of some iterative methods for generalized equations.
- Regularity and conditioning of solution mappings in variational analysis
- Metrically regular mappings and its application to convergence analysis of a confined Newton-type method for nonsmooth generalized equations
- Extended Newton-type method and its convergence analysis for nonsmooth generalized equations
- A general iterative procedure for solving nonsmooth generalized equations
- Convergence analysis of a method for variational inclusions
- Implicit Functions and Solution Mappings
- Generalized equations and their solutions, part II: Applications to nonlinear programming
- Normal Maps Induced by Linear Transformations
- An Inverse Mapping Theorem for Set-Valued Maps
- Convergence analysis of a variant of Newton-type method for generalized equations
- Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
- On a non-smooth version of Newton's method based on Hölderian assumptions
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