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Strong metric (sub)regularity of Karush-Kuhn-Tucker mappings for piecewise linear-quadratic convex-composite optimization and the quadratic convergence of Newton's method
Burke, James V.; Engle, Abraham - In: Mathematics of operations research 45 (2020) 3, pp. 1164-1192
Persistent link: https://www.econbiz.de/10012293377
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Full stability in finite-dimensional optimization
Mordukhovich, B. S.; Nghia, T. T. A.; Rockafellar, … - In: Mathematics of operations research 40 (2015) 1, pp. 226-252
Persistent link: https://www.econbiz.de/10010497623
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Linear convergence of projection algorithms
Dao, Minh N.; Phan, Hung M. - In: Mathematics of operations research 44 (2019) 2, pp. 715-738
Persistent link: https://www.econbiz.de/10012028706
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Nonsmooth cone-constrained optimization with applications to semi-infinite programming
Morduchovič, Boris S.; Nghia, T. T. A. - In: Mathematics of operations research 39 (2014) 2, pp. 301-324
Persistent link: https://www.econbiz.de/10010384210
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Quantitative convergence analysis of iterated expansive, set-valued mappings
Luke, D. Russell; Thao, Nguyen H.; Tam, Matthew K. - In: Mathematics of operations research 43 (2018) 4, pp. 1143-1176
Persistent link: https://www.econbiz.de/10011956917
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Weak and strong convergence theorems for new resolvents of maximal monotone operators in Banach spaces
Ibaraki, Takanori; Takahashi, Wataru - In: Advances in mathematical economics 10 (2007), pp. 51-64
Persistent link: https://www.econbiz.de/10003538248
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Self-adaptive inexact proximal point methods
Hager, William W.; Zhang, Hongchao - In: Computational optimization and applications : an … 39 (2008) 2, pp. 161-181
Persistent link: https://www.econbiz.de/10003666044
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Proximal point algorithms for nonsmooth convex optimization with fixed point constraints
Iiduka, Hideaki - In: European journal of operational research : EJOR 253 (2016) 2, pp. 503-513
Persistent link: https://www.econbiz.de/10011490370
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Entropy-like minimization methods based on modified proximal point algorithm
Hamdi, Abdelouahed; Bnouhachem, Abdellah - In: INFOR : information systems and operational research 52 (2014) 3, pp. 147-156
Persistent link: https://www.econbiz.de/10011389444
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A new algorithm for linearly constrained c-convex vector optimization with a supply chain network risk application
Qu, Shaojian; Goh, Mark; de Souza, Robert - In: European journal of operational research : EJOR 247 (2015) 2, pp. 359-365
Persistent link: https://www.econbiz.de/10011374497