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

