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Convergence properties of a class of exact penalty methods for semi-infinite optimization problems
Ju, Jiachen; Liu, Qian - In: Mathematical methods of operations research : ZOR 91 (2020) 3, pp. 383-403
Persistent link: https://www.econbiz.de/10012301595
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An accelerated directional derivative method for smooth stochastic convex optimization
Dvurechensky, Pavel; Gorbunov, Eduard; Gasnikov, Alexander - In: European journal of operational research : EJOR 290 (2021) 2, pp. 601-621
Persistent link: https://www.econbiz.de/10012495252
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Maximizing perturbation radii for robust convex quadratically constrained quadratic programs
Yu, Pengfei; Gao, Ruotian; Xing, Wenxun - In: European journal of operational research : EJOR 293 (2021) 1, pp. 50-64
Persistent link: https://www.econbiz.de/10012502488
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Solving oligopolistic equilibrium problems with convex optimization
Egging-Bratseth, Ruud; Baltensperger, Tobias; … - In: European journal of operational research : EJOR 284 (2020) 1, pp. 44-52
Persistent link: https://www.econbiz.de/10012238574
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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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A decomposition method for lasso problems with zero-sum constraint
Cristofari, Andrea - In: European journal of operational research : EJOR 306 (2023) 1, pp. 358-369
Persistent link: https://www.econbiz.de/10014278010
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A model for optimal execution of atomic orders
Kumaresan, Miles; Krejić, Nataša - In: Computational Optimization and Applications 46 (2010) 2, pp. 369-389
Persistent link: https://www.econbiz.de/10008533944
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A novel stepsize for gradient descent method
Pham Thi Hoai; Nguyen The Vinh; Nguyen Phung Hai Chung - In: Operations research letters : a journal of INFORMS … 53 (2024), pp. 1-8
Persistent link: https://www.econbiz.de/10015049251