The Josephy-Newton method for semismooth generalized equations and semismooth SQP for optimization
DOI10.1007/s11228-012-0218-zzbMath1285.90065OpenAlexW2068388303MaRDI QIDQ1938516
Alexey S. Kurennoy, Alexey F. Izmailov, Mikhail V. Solodov
Publication date: 21 February 2013
Published in: Set-Valued and Variational Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11228-012-0218-z
strong regularitysemismoothnessgeneralized JacobianSQPgeneralized equation\(BD\)-regularity\(CD\)-regularity\(B\)-differentialJosephy-Newton method
Numerical mathematical programming methods (65K05) Nonlinear programming (90C30) Methods of successive quadratic programming type (90C55)
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- Semismooth Newton method for the lifted reformulation of mathematical programs with complementarity constraints
- Lifting mathematical programs with complementarity constraints
- Newton's method for generalized equations: a sequential implicit function theorem
- Inexact Josephy-Newton framework for generalized equations and its applications to local analysis of Newtonian methods for constrained optimization
- Local analysis of Newton-type methods for variational inequalities and nonlinear programming
- Superlinearly convergent approximate Newton methods for LC\(^ 1\) optimization problems
- Computational schemes for large-scale problems in extended linear- quadratic programming
- Pseudopower expansion of solutions of generalized equations and constrained optimization problems
- A nonsmooth version of Newton's method
- A Truncated SQP Method Based on Inexact Interior-Point Solutions of Subproblems
- Sharp Primal Superlinear Convergence Results for Some Newtonian Methods for Constrained Optimization
- Nonsmooth Equations: Motivation and Algorithms
- Generalized Linear-Quadratic Problems of Deterministic and Stochastic Optimal Control in Discrete Time
- On Augmented Lagrangian Methods with General Lower-Level Constraints
- On second-order sufficient optimality conditions for c 1,1-optimization problems
- Strongly Regular Generalized Equations
- Stability Theory for Parametric Generalized Equations and Variational Inequalities Via Nonsmooth Analysis
- Semismooth Karush-Kuhn-Tucker Equations and Convergence Analysis of Newton and Quasi-Newton Methods for Solving these Equations
- Convergence Analysis of Some Algorithms for Solving Nonsmooth Equations
- Finite-Dimensional Variational Inequalities and Complementarity Problems
- The Theory of 2-Regularity for Mappings with Lipschitzian Derivatives and its Applications to Optimality Conditions
- Numerical optimization. Theoretical and practical aspects. Transl. from the French
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