RESEARCH OF ONE VARIANT OF SUBGRADIENT METHOD
The subgradient step selection method based on the known minimal value of function is studied in the paper. The authors show that it is an analogue of the method of minimal errors for solving linear equation systems.
N. S. Samoylenko +2 more
doaj
Newtonian Property of Subgradient Method with Optimization of Metric Matrix Parameter Correction
The work proves that under conditions of instability of the second derivatives of the function in the minimization region, the estimate of the convergence rate of Newton’s method is determined by the parameters of the irreducible part of the ...
Elena Tovbis +2 more
doaj +1 more source
Can tropical cyclones exist near the Equator?
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
Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
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
Distributed Model Predictive Control of Microgrids: A Review on Recent Developments
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
A Hierarchical Cooperation Power Management Strategy for ADN‐MG Systems
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
Subgradient Methods for Sharp Weakly Convex Functions [PDF]
16 pages, 3 ...
Damek Davis +3 more
openaire +3 more sources
An augmented subgradient method for minimizing nonsmooth DC functions
A method, called an augmented subgradient method, is developed to solve unconstrained nonsmooth difference of convex (DC) optimization problems. At each iteration of this method search directions are found by using several subgradients of the first DC ...
Hoseini Monjezi, Najmeh +2 more
core +1 more source
An Extension of Subgradient Method for Variational Inequality Problems in Hilbert Space
An extension of subgradient method for solving variational inequality problems is presented. A new iterative process, which relates to the fixed point of a nonexpansive mapping and the current iterative point, is generated.
Xueyong Wang, Shengjie Li, Xipeng Kou
doaj +1 more source
Optimal Sparse Array Design Against Desired Signal DOA Mismatch for Robust Adaptive Beamforming
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

