A General Iterative Procedure to Solve Generalized Equations with Differentiable Multifunction
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DOI: 10.1007/s10957-020-01635-8
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References listed on IDEAS
- D. Azé & C. C. Chou, 1995. "On a Newton Type Iterative Method for Solving Inclusions," Mathematics of Operations Research, INFORMS, vol. 20(4), pages 790-800, November.
- F. Aragón Artacho & A. Belyakov & A. Dontchev & M. López, 2014. "Local convergence of quasi-Newton methods under metric regularity," Computational Optimization and Applications, Springer, vol. 58(1), pages 225-247, May.
- Michaël Gaydu & Michel Geoffroy & Yvesner Marcelin, 2016. "Prederivatives of convex set-valued maps and applications to set optimization problems," Journal of Global Optimization, Springer, vol. 64(1), pages 141-158, January.
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Cited by:
- Jiaxi Wang & Wei Ouyang, 2022. "Newton’s Method for Solving Generalized Equations Without Lipschitz Condition," Journal of Optimization Theory and Applications, Springer, vol. 192(2), pages 510-532, February.
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Keywords
Generalized equation; Generalized point-based approximations; Differentiable multifunction; Newton method; Metric regularity;All these keywords.
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