Results 51 to 60 of about 884 (184)

Dimer models and conformal structures

Communications on Pure and Applied Mathematics, Volume 79, Issue 2, Page 340-446, February 2026.
Abstract Dimer models have been the focus of intense research efforts over the last years. Our paper grew out of an effort to develop new methods to study minimizers or the asymptotic height functions of general dimer models and the geometry of their frozen boundaries.
Kari Astala, Erik Duse, István Prause, Xiao Zhong   +3 more
wiley   +1 more source

A new subgradient extragradient method for solving the split modified system of variational inequality problems and fixed point problem

Journal of Inequalities and Applications, 2022
We introduce a new subgradient extragradient algorithm utilizing the concept of the set of solutions of the split modified system of variational inequality problems (SMSVIP).
Anchalee Sripattanet, Atid Kangtunyakarn
doaj   +1 more source

Horoballs and the subgradient method

CoRR
To explore convex optimization on Hadamard spaces, we consider an iteration in the style of a subgradient algorithm. Traditionally, such methods assume that the underlying spaces are manifolds and that the objectives are geodesically convex: the methods are described using tangent spaces and exponential maps.
Adrian S. Lewis, Genaro López-Acedo, Adriana Nicolae   +2 more
openaire   +2 more sources

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

Statistics 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

RESEARCH OF ONE VARIANT OF SUBGRADIENT METHOD

Вестник Кемеровского государственного университета, 2015
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, V. N. Krutikov, V. V. Meshechkin   +2 more
doaj  

Tight analyses for subgradient descent I: Lower bounds

Open Journal of Mathematical Optimization
Consider the problem of minimizing functions that are Lipschitz and convex, but not necessarily differentiable. We construct a function from this class for which the $Tþ$ iterate of subgradient descent has error $\Omega (\log (T)/\sqrt{T})$. This matches
Harvey, Nicholas J. A., Liaw, Chris, Randhawa, Sikander   +2 more
doaj   +1 more source

Bounded perturbation resilience of extragradient-type methods and their applications

Journal of Inequalities and Applications, 2017
In this paper we study the bounded perturbation resilience of the extragradient and the subgradient extragradient methods for solving a variational inequality (VI) problem in real Hilbert spaces.
Q-L Dong, A Gibali, D Jiang, Y Tang
doaj   +1 more source

Can tropical cyclones exist near the Equator?

Quarterly 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

Delayed Star Subgradient Methods for Constrained Nondifferentiable Quasi-Convex Optimization

Algorithms
In this work, we consider the problem of minimizing a quasi-convex function over a nonempty closed convex constrained set. In order to approximate a solution of the considered problem, we propose delayed star subgradient methods.
Ontima Pankoon, Nimit Nimana
doaj   +1 more source

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

IET 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, Mojtaba Hajihosseini, Saman A. Gorji   +2 more
wiley   +1 more source