Results 251 to 260 of about 12,020,063 (274)
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An adaptive polyak heavy-ball method
Machine Learning, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Samer Said Jr Saab +2 more
exaly +3 more sources
Stochastic Heavy-Ball Method for Constrained Stochastic Optimization Problems
Acta Mathematica Vietnamica, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Farajzadeh +2 more
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Evolution Equations and Control Theory, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zaki Chbani
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zaki Chbani
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Parallel Approaches in the Heavy Ball GMRES Method
2019 31st International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2019Linear system is a useful mathematical model that is used in many research areas. This paper presents a parallelism study that considers a recent iterative method to solve large sparse linear systems, called Heavy Ball Generalized Minimal Residual (HBGMRES) method.
Cristiane O Faria
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Heavy Ball Flexible GMRES Method for Nonsymmetric Linear Systems
Journal of Computational Mathematics, 2022Flexible GMRES (FGMRES) is a variant of preconditioned GMRES, which changes preconditioners at every Arnoldi step. GMRES often has to be restarted in order to save storage and reduce orthogonalization cost in the Arnoldi process. Like restarted GMRES, FGMRES may also have to be restarted for the same reason.
Yang, Mei, Li, Ren-Cang
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Locally optimal and heavy ball GMRES methods
Japan Journal of Industrial and Applied Mathematics, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akira Imakura +2 more
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Stochastic Euler Heavy Ball Method
2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021Zhou Shao, Junyan Liu, Tong Lin 0002
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The multidimensional n-th order heavy ball method and its application to extremum seeking
53rd IEEE Conference on Decision and Control, 2014In this paper the extension of the heavy ball method to n-th order integrator dynamics is considered. We propose a gradient based controller that achieves to find the extremum of a function depending on multiple variables and prove asymptotic stability for all functions from the set of strongly convex functions.
Simon Michalowsky, Christian Ebenbauer
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ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
We present a momentum-based accelerated iterative hard thresholding (IHT) for low-rank matrix completion. We analyze the convergence of the proposed Heavy Ball (HB) accelerated IHT near the solution and provide optimal step size parameters that guarantee the fastest rate of convergence.
Trung Vu 0001, Raviv Raich
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We present a momentum-based accelerated iterative hard thresholding (IHT) for low-rank matrix completion. We analyze the convergence of the proposed Heavy Ball (HB) accelerated IHT near the solution and provide optimal step size parameters that guarantee the fastest rate of convergence.
Trung Vu 0001, Raviv Raich
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