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On a posteriori stopping rules of adaptive stochastic heavy ball method for ill-posed problems

arXiv.org
In this paper we develop a stochastic heavy ball method for solving ill-posed inverse problems. The method updates the iterate using only a randomly selected equation at each iteration step while incorporating a momentum term into the process.
Ruixue Gu, Qi-Nian Jin
semanticscholar   +1 more source

Collaborative Active and Reactive Power Control Based on Distributed Event Triggered Heavy Ball Method

ACM Cloud and Autonomic Computing Conference
With the increasing integration of distributed energy into distribution networks, the demand for advanced voltage control is increasing. This paper introduces a novel approach for coordinating real and reactive power in distributed power systems ...
Batao Chen, Qian Su, Zhenxing Liu
semanticscholar   +1 more source

Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization

SIAM Journal on Optimization, 2022
Jean-François Aujol, Aude Rondepierre
exaly  

Heavy-ball method in nonconvex optimization problems

Computational Mathematics and Modeling, 1993
S. K. Zavriev, F. V. Kostyuk
openaire   +1 more source

Heavy-ball-based hard thresholding algorithms for sparse signal recovery

Journal of Computational and Applied Mathematics, 2023
Yun-Bin Zhao, Nan Meng
exaly  

Tikhonov Regularization of a Perturbed Heavy Ball System with Vanishing Damping

SIAM Journal on Optimization, 2021
László Szilárd Csaba   +1 more
exaly  

Non-monotone Behavior of the Heavy Ball Method

Springer Proceedings in Mathematics and Statistics, 2020
Marina Danilova, Boris Polyak
exaly  

On the convergence of the Stochastic Heavy Ball Method.

CoRR, 2020
Othmane Sebbouh   +2 more
openaire   +1 more source

Convergence of Momentum-Based Heavy Ball Method with Batch Updating and/or Approximate Gradients

2023 Ninth Indian Control Conference (ICC), 2023
Tadipatri Uday Kiran Reddy   +1 more
openaire   +1 more source

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