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Online first-order framework for robust convex optimization
Ho-Nguyen, Nam; Kılınç-Karzan, Fatma - In: Operations research 66 (2018) 6, pp. 1670-1692
Persistent link: https://www.econbiz.de/10011972261
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Exact worst-case performance of first-order methods for composite convex optimization
Taylor, Adrien B.; Hendrickx, Julien M.; Glineur, François - 2016
Persistent link: https://www.econbiz.de/10011894461
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PAMS.py : a GAMS-like modeling system based on Python and SAGE
Roson, Roberto - 2016
Persistent link: https://www.econbiz.de/10011628899
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Frank-Wolfe and friends : a journey into projection-free first-order optimization methods
Bomze, Immanuel M.; Rinaldi, Francesco; Zeffiro, Damiano - In: 4OR : quarterly journal of the Belgian, French and … 19 (2021) 3, pp. 313-345
Persistent link: https://www.econbiz.de/10012650681
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A descent lemma beyond Lipschitz gradient continuity : first-order methods revisited and applications
Bauschke, Heinz H.; Bolte, Jérôme; Teboulle, Marc - In: Mathematics of operations research 42 (2017) 2, pp. 330-348
Persistent link: https://www.econbiz.de/10011684408
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Coordinate descent without coordinates : tangent subspace descent on riemannian manifolds
Gutman, David Huckleberry; Ho-Nguyen, Nam - In: Mathematics of operations research 48 (2023) 1, pp. 127-159
Persistent link: https://www.econbiz.de/10014312537
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Accelerated methods for weakly-quasi-convex optimization problems
Guminov, Sergey; Gasnikov, Alexander; Kuruzov, Ilya - In: Computational management science 20 (2023) 1, pp. 1-19
Persistent link: https://www.econbiz.de/10014393397
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Preconditioning meets biased compression for efficient distributed optimization
Pirau, Vitali; Beznosikov, Aleksandr; Takáč, Martin; … - In: Computational management science 21 (2023) 1, pp. 1-22
Persistent link: https://www.econbiz.de/10014636773
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On the design of R-based scalable frameworks for data science applications
Theußl, Stefan Peter - 2020
Persistent link: https://www.econbiz.de/10012194139
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Procurement strategy with credit risk
Wang, Hsiao-fan; Su, Ray - In: International journal of operations and quantitative … 19 (2013) 3, pp. 179-200
Persistent link: https://www.econbiz.de/10010253593