Results 61 to 70 of about 884 (184)

A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities

Mathematics
This 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, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana   +2 more
doaj   +1 more source

Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments

Frontiers in Robotics and AI, 2019
The existing machine learning algorithms for minimizing the convex function over a closed convex set suffer from slow convergence because their learning rates must be determined before running them.
Kazuhiro Hishinuma, Hideaki Iiduka
doaj   +1 more source

A Hierarchical Cooperation Power Management Strategy for ADN‐MG Systems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
Distributed generators (DGs) are mostly connected to the active distribution networks (ADNs) through microgrids (MGs) or microgrid clusters (MGCs) to support the power balance of the ADNs. Real‐time power dispatching between ADNs and the MGs is a major research hotspot and difficulty in current ADN‐MG cooperation systems.
Xudong Zhang, Xiaoqing Lu, Zhe Chen, Xiangjin Wang, Yajie Tang   +4 more
wiley   +1 more source

Optimal Sparse Array Design Against Desired Signal DOA Mismatch for Robust Adaptive Beamforming

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
The performance of the adaptive beamformer is not only related to the array weight but also influenced by the array structure. Different sparse array configurations exhibit varying sensitivities to uncertainties in the signal direction of arrival (DOA).
Weinian Li, Lichun Li, Chaoyue Song, Zhengyang Xu, Jingna Jiao, Wenbo Zhang   +5 more
wiley   +1 more source

The Conjugate Function of a Fuzzy $n$-cell Number-Valued Function [PDF]

Sahand Communications in Mathematical Analysis
We introduce the concepts of conjugate and biconjugate fuzzy functions. Utilizing these definitions, we present conjugate calculus rules. In addition, we formulate and demonstrate relevant theorems, including the relationship between the notions of ...
Samira Fatemi, Ildar Sadeqi, Fridoun Moradlou   +2 more
doaj   +1 more source

Uncertainty‐Aware Coordinated Transmission‐Distribution Dispatch via GNN‐Augmented Distributionally Robust Optimal Power Flow

IET Smart Grid, Volume 9, Issue 1, January/December 2026.
The proposed LA‐DROPF framework integrates graph neural network surrogates with Wasserstein distributionally robust optimisation and CVaR tail‐risk control for coordinated transmission—distribution dispatch under deep renewable uncertainty. A hybrid Benders—ADMM decomposition enables privacy‐preserving multi‐area coordination with formal convergence ...
Aamir Nawaz, Zahid Javid, William Holderbaum   +2 more
wiley   +1 more source

A subgradient projection algorithm

Journal of Approximation Theory, 1982
AbstractUsing only certain easily computable ε-subgradients, an implementable convergent algorithm for finding the minimizer of a non-differentiable objective function subject to a finite number of linear constraints in d-dimensional space is given. The particular objective function consists of the pointwise maximum of a finite system of pseudoconvex ...
openaire   +1 more source

Balanced Smart Predict‐Then‐Optimize Framework for Container Yard Intelligent Retrofit Decision‐Making

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Intelligent transformation of container yards is essential for increasing terminal capacity. Demand uncertainty may lead to the risk of delays in port container operations. Traditional “predict‐then‐optimize” (PTO) frameworks often yield suboptimal results because forecasting goals are isolated from the actual decision objectives.
Xianhui Li, Jing Yu, Xijun Wang, Houjun Lu, Umar Iqbal   +4 more
wiley   +1 more source

Strong Convergence Algorithms Involving Two Iterative Sequences for Solving Common Fixed Point Problems With an Application

Journal of Mathematics, Volume 2026, Issue 1, 2026.
The goal of this study is dedicated to the research on the fixed point iterative algorithm for solving the common fixed point problems in Hilbert spaces. In this study, we first propose the hybrid and shrinking projection algorithms of two different nonexpansive mappings for a class of algorithms with two iterative sequences to solve the common fixed ...
Shengquan Weng, Hongying Xiao, Ching-Feng Wen   +2 more
wiley   +1 more source

Optimal beamforming in over-the-air federated learning for efficient model aggregation

ICT Express
Federated 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
doaj   +1 more source