Inexact Josephy–Newton framework for generalized equations and its applications to local analysis of Newtonian methods for constrained optimization
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DOI: 10.1007/s10589-009-9265-2
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References listed on IDEAS
- M. V. Solodov, 2004. "On the Sequential Quadratically Constrained Quadratic Programming Methods," Mathematics of Operations Research, INFORMS, vol. 29(1), pages 64-79, February.
- Aram V. Arutyunov & Alexey F. Izmailov, 2005. "Sensitivity Analysis for Cone-Constrained Optimization Problems Under the Relaxed Constraint Qualifications," Mathematics of Operations Research, INFORMS, vol. 30(2), pages 333-353, May.
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Cited by:
- A. F. Izmailov & M. V. Solodov, 2015. "Newton-Type Methods: A Broader View," Journal of Optimization Theory and Applications, Springer, vol. 164(2), pages 577-620, February.
- Fabiana R. Oliveira & Orizon P. Ferreira & Gilson N. Silva, 2019. "Newton’s method with feasible inexact projections for solving constrained generalized equations," Computational Optimization and Applications, Springer, vol. 72(1), pages 159-177, January.
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Keywords
Newton method; Josephy–Newton method; Generalized equation; Variational problem; Linearly constrained Lagrangian method; (Stabilized) sequential quadratic programming;All these keywords.
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