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Target radius methods for nonsmooth convex optimization
Oliveira, Welington de - In: Operations research letters 45 (2017) 6, pp. 659-664
Persistent link: https://www.econbiz.de/10011783088
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Solving minimax control problems via nonsmooth optimization
Gianatti, Justina; Aragone, Laura S.; Lotito, Pablo A.; … - In: Operations research letters 44 (2016) 5, pp. 680-686
Persistent link: https://www.econbiz.de/10011596635
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Fast proximal algorithms for nonsmooth convex optimization
Ouorou, Adam - In: Operations research letters 48 (2020) 6, pp. 777-783
Persistent link: https://www.econbiz.de/10012430131
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The regularized feasible directions method for nonconvex optimization
Beck, Amir; Hallak, Nadav - In: Operations research letters 50 (2022) 5, pp. 517-523
Persistent link: https://www.econbiz.de/10013449438
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Distributed stochastic nonsmooth nonconvex optimization
Kungurtsev, Vyacheslav - In: Operations research letters 50 (2022) 6, pp. 627-631
Persistent link: https://www.econbiz.de/10014230138
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Risk-averse stochastic optimal control : An efficiently computable statistical upper bound
Guigues, Vincent; Shapiro, Alexander; Cheng, Yi - In: Operations research letters 51 (2023) 4, pp. 393-400
Persistent link: https://www.econbiz.de/10014426574
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Dual SDDP for risk-averse multistage stochastic programs
Costa, Bernardo Freitas Paulo da; Leclère, Vincent - In: Operations research letters 51 (2023) 3, pp. 332-337
Persistent link: https://www.econbiz.de/10014374928
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Market price-based convex risk measures : a distribution-free optimization approach
Li, Jonathan Y.; Kwon, Roy H. - In: Operations research letters 40 (2012) 2, pp. 128-133
Persistent link: https://www.econbiz.de/10009507888
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Non-linear equity portfolio variance reduction under a mean-variance framework : a delta-gamma approach
Jewell, Sean W.; Li, Yang; Pirvu, Traian A. - In: Operations research letters 41 (2013) 6, pp. 694-700
Persistent link: https://www.econbiz.de/10010236034
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Optimal retirement strategy with a negative wealth constraint
Park, Seyoung; Jang, Bong-gyu - In: Operations research letters 42 (2014) 3, pp. 208-212
Persistent link: https://www.econbiz.de/10010383190