Characterization of optimization problems that are solvable iteratively with linear convergence

Fuente: arXiv
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Main Author: Alimisis, Foivos
Format: Preprint
Published: 2024
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author Alimisis, Foivos
author_facet Alimisis, Foivos
contents In this work, we state a general conjecture on the solvability of optimization problems via algorithms with linear convergence guarantees. We make a first step towards examining its correctness by fully characterizing the problems that are solvable via Riemannian gradient descent with linear convergence.
format Preprint
id arxiv_https___arxiv_org_abs_2402_12090
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Characterization of optimization problems that are solvable iteratively with linear convergence
Alimisis, Foivos
Optimization and Control
Differential Geometry
In this work, we state a general conjecture on the solvability of optimization problems via algorithms with linear convergence guarantees. We make a first step towards examining its correctness by fully characterizing the problems that are solvable via Riemannian gradient descent with linear convergence.
title Characterization of optimization problems that are solvable iteratively with linear convergence
topic Optimization and Control
Differential Geometry
url https://arxiv.org/abs/2402.12090