Results 31 to 40 of about 2,178 (210)
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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The effect of deterministic noise in subgradient methods [PDF]
Mathematical Programming, 2009 In the paper the authors consider the problem \[ \min_{x\in X} \; f(x) \] where \(f:\mathbb R^n\to \mathbb R\) is a convex function, and \(X\) is a nonempty, closed and convex set in \(R^n,\) in order to focus on the influence of noise on subgradient methods.
Angelia Nedic, Dimitri P. Bertsekas
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Axioms, 2023 In this paper, we introduce a new iterative method that combines the inertial subgradient extragradient method and the modified Mann method for solving the pseudomonotone variational inequality problem and the fixed point of quasi-Bregman nonexpansive ...
Rose Maluleka +2 more
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A Generalized Newton Method for Subgradient Systems
Mathematics of Operations Research, 2023 This paper proposes and develops a new Newton-type algorithm to solve subdifferential inclusions defined by subgradients of extended real-valued prox-regular functions. The proposed algorithm is formulated in terms of the second order subdifferential of such functions that enjoy extensive calculus rules and can be efficiently computed for broad classes
Pham Duy Khanh +2 more
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A trust region method using subgradient for minimizing a nondifferentiable function [PDF]
Yugoslav Journal of Operations Research, 2009 The minimization of a particular nondifferentiable function is considered. The first and second order necessary conditions are given. A trust region method for minimization of this form of the objective function is presented.
Gardašević-Filipović Milanka
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A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü +6 more
wiley +1 more source
Journal of Agricultural Economics, EarlyView.ABSTRACT We develop a framework for regulated production systems where output generation and pollution abatement impose competing technological demands. Using a multi‐ware technology, we model the production set as the intersection of two input requirement frontiers, one for production and one for abatement, each reflecting distinct trade‐offs.
Youpei Yan, Robert G. Chambers
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MathematicsThis paper presents an enhanced algorithm designed to solve variational inequality problems that involve a pseudomonotone and Lipschitz continuous operator in real Hilbert spaces.
Habib ur Rehman +2 more
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Differential item functioning detection across multiple groups
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Differential item functioning (DIF) can be investigated by estimating item response theory (IRT) parameters separately for different respondent groups, thus allowing for the detection of discrepancies in parameter estimates across groups. However, before comparing the estimates, it is necessary to convert them to a common metric due to the ...
Michela Battauz
wiley +1 more source
Optimal beamforming in over-the-air federated learning for efficient model aggregation
ICT ExpressFederated learning (FL) enables distributed model training while preserving privacy, but frequent updates from many devices create substantial communication challenges.
Sangwoo Choi, Minsik Kim, Daeyoung Park
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