Results 21 to 30 of about 19,030 (190)
Scaling Techniques for $\epsilon$-Subgradient Methods [PDF]
SIAM Journal on Optimization, 2016 Summary: The recent literature on first order methods for smooth optimization shows that significant improvements on the practical convergence behavior can be achieved with variable step size and scaling for the gradient, making this class of algorithms attractive for a variety of relevant applications.
BONETTINI, Silvia +2 more
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On Robustness of the Normalized Subgradient Method with Randomly Corrupted Subgradients [PDF]
2021 American Control Conference (ACC), 2021 Numerous modern optimization and machine learning algorithms rely on subgradient information being trustworthy and hence, they may fail to converge when such information is corrupted. In this paper, we consider the setting where subgradient information may be arbitrarily corrupted (with a given probability) and study the robustness properties of the ...
Turan, Berkay +3 more
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Relaxation Subgradient Algorithms with Machine Learning Procedures
Mathematics, 2022 In the modern digital economy, optimal decision support systems, as well as machine learning systems, are becoming an integral part of production processes.
Vladimir Krutikov +4 more
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Distributed subgradient methods and quantization effects [PDF]
2008 47th IEEE Conference on Decision and Control, 2008 We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objective functions through local computations and communications. For this problem, we use averaging algorithms to develop distributed subgradient methods that can operate over a time ...
Nedić, Angelia +3 more
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Axioms, 2023 In this paper, we design two inertial-type subgradient extragradient algorithms with the linear-search process for resolving the two pseudomonotone variational inequality problems (VIPs) of and the common fixed point problem (CFPP) of finite Bregman ...
Cong-Shan Wang +5 more
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A Novel Lagrangian Multiplier Update Algorithm for Short-Term Hydro-Thermal Coordination
Energies, 2020 The backbone of a conventional electrical power generation system relies on hydro-thermal coordination. Due to its intrinsic complex, large-scale and constrained nature, the feasibility of a direct approach is reduced.
P. M. R. Bento +3 more
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Mathematics, 2022 In a real Hilbert space, we aim to investigate two modified Mann subgradient-like methods to find a solution to pseudo-monotone variational inequalities, which is also a common fixed point of a finite family of nonexpansive mappings and an asymptotically
Lu-Chuan Ceng +2 more
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Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring. [PDF]
Stat MedABSTRACT Causal inference has gained extensive attention in various fields, including healthcare, epidemiology, and social sciences. While many methods have been developed, most research has been directed to handle data with a univariate response variable.
Hu P, Yi GY.
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Demonstratio Mathematica, 2023 The primary goal of this research is to investigate the approximate numerical solution of variational inequalities using quasimonotone operators in infinite-dimensional real Hilbert spaces.
Rehman Habib ur +4 more
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Results in Nonlinear Analysis, 2021 In this paper, we introduce an inertial parallel CQ subgradient extragradient method for finding a common solutions of variational inequality problems.
Ponkamon Kitisak, Watcharaporn Cholamjiak, Damrongsak Yambangwai
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