Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping

Fuente: arXiv
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Auteurs principaux: Wang, Zepeng, Peypouquet, Juan
Format: Preprint
Publié: 2025
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author Wang, Zepeng
Peypouquet, Juan
author_facet Wang, Zepeng
Peypouquet, Juan
contents We analyze the convergence rate of a family of inertial algorithms, which can be obtained by discretization of an inertial system with Hessian-driven damping. We recover a convergence rate, up to a factor of 2 speedup upon Nesterov's scheme, for smooth strongly convex functions. As a byproduct of our analyses, we also derive linear convergence rates for convex functions satisfying quadratic growth condition or Polyak-Łojasiewicz inequality. As a significant feature of our results, the dependence of the convergence rate on parameters of the inertial system/algorithm is revealed explicitly. This may help one get a better understanding of the acceleration mechanism underlying an inertial algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2502_16953
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping
Wang, Zepeng
Peypouquet, Juan
Optimization and Control
We analyze the convergence rate of a family of inertial algorithms, which can be obtained by discretization of an inertial system with Hessian-driven damping. We recover a convergence rate, up to a factor of 2 speedup upon Nesterov's scheme, for smooth strongly convex functions. As a byproduct of our analyses, we also derive linear convergence rates for convex functions satisfying quadratic growth condition or Polyak-Łojasiewicz inequality. As a significant feature of our results, the dependence of the convergence rate on parameters of the inertial system/algorithm is revealed explicitly. This may help one get a better understanding of the acceleration mechanism underlying an inertial algorithm.
title Accelerated Gradient Methods via Inertial Systems with Hessian-driven Damping
topic Optimization and Control
url https://arxiv.org/abs/2502.16953