A Concise Lyapunov Analysis of Nesterov's Accelerated Gradient Method

Jun Liu
2/24/2025
math.OCcs.LGeess.SY

No confident code implementation found for this paper.

Abstract

Convergence analysis of Nesterov's accelerated gradient method has attracted significant attention over the past decades. While extensive work has explored its theoretical properties and elucidated the intuition behind its acceleration, a simple and direct proof of its convergence rates is still lacking. We provide a concise Lyapunov analysis of the convergence rates of Nesterov's accelerated gradient method for both general convex and strongly convex functions.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{liu2025concise,
  title  = {A Concise Lyapunov Analysis of Nesterov's Accelerated Gradient Method},
  author = {Jun Liu},
  year   = {2025},
  eprint = {2502.17373},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2502.17373v3}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2502.17373.svg)](https://codeofpaper.com/paper/2502.17373)

Discussion