Results 51 to 60 of about 1,615 (176)

Approximation Results for Equilibrium Problems Involving Strongly Pseudomonotone Bifunction in Real Hilbert Spaces

open access: yesAxioms, 2020
A plethora of applications in non-linear analysis, including minimax problems, mathematical programming, the fixed-point problems, saddle-point problems, penalization and complementary problems, may be framed as a problem of equilibrium.
Wiyada Kumam, Kanikar Muangchoo
doaj   +1 more source

Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring

open access: yesStatistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT 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.
Pingbo Hu, Grace Y. Yi
wiley   +1 more source

Conditional Subgradient Methods and Ergodic Convergence in Nonsmooth Optimization

open access: yes, 1997
The topic of the thesis is subgradient optimization methods in convex, nonsmooth optimization. These methods are frequently used, especially in the context of Lagrangean relaxation of large scale mathematical programs where they are remarkably often able
Strömberg, Ann-Brith,
core   +1 more source

Can tropical cyclones exist near the Equator?

open access: yesQuarterly Journal of the Royal Meteorological Society, Volume 152, Issue 774, January 2026 Part A.
Schematic showing how a developed TC responds to reduced Coriolis parameter (f). Zero‐f lowers inertial stability and increases agradient force, enhancing radial inflow at lower levels. Stronger inflow deepens the inflow layer and promotes convergence, intensifying convection and downdrafts in outer rainbands.
Min Li, Ralf Toumi
wiley   +1 more source

Distributed Model Predictive Control of Microgrids: A Review on Recent Developments

open access: yesIET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper presents a comprehensive review of distributed model predictive control (DMPC) for microgrids, synthesizing recent developments from the past decade. The review categorizes DMPC implementations by communication architectures, control challenges, and algorithmic strategies, while evaluating their performance in terms of computational burden ...
Hossein G. Sahebi   +2 more
wiley   +1 more source

Ellipsoid Method for Linear Regression Parameters Determination

open access: yesКібернетика та комп'ютерні технології, 2020
Introduction. Linear regression parameters determination can be formulated as a non-smooth function minimization problem, which is Lp-norm of residual of the linear equations system.
V. Stovba
doaj   +1 more source

A Study on Distributed Optimization over Large-Scale Networked Systems

open access: yesJournal of Mathematics, 2021
Distributed optimization is a very important concept with applications in control theory and many related fields, as it is high fault-tolerant and extremely scalable compared with centralized optimization.
Hansi K. Abeynanda, G. H. J. Lanel
doaj   +1 more source

A Hierarchical Cooperation Power Management Strategy for ADN‐MG Systems

open access: yesIET 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   +4 more
wiley   +1 more source

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

open access: yesIET 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   +5 more
wiley   +1 more source

Subgradient methods and consensus algorithms for solving convex optimization problems

open access: yes, 2008
In this paper we propose a subgradient method for solving coupled optimization problems in a distributed way given restrictions on the communication topology.
Bjorn Johansson   +10 more
core   +1 more source

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