Iteration complexity of the Difference-of-Convex Algorithm for unconstrained optimization: a simple proof

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Gratton, Serge, Toint, Philippe L.
Natura: Preprint
Pubblicazione: 2026
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866917217686257664
author Gratton, Serge
Toint, Philippe L.
author_facet Gratton, Serge
Toint, Philippe L.
contents We propose a simple proof of the worst-case iteration complexity for the Difference of Convex functions Algorithm (DCA) for unconstrained minimization, showing that the global rate of convergence of the norm of the objective function's gradients at the iterates converge to zero like o(1/k). A small example is also provided indicating that the rate cannot be improved.
format Preprint
id arxiv_https___arxiv_org_abs_2601_15970
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Iteration complexity of the Difference-of-Convex Algorithm for unconstrained optimization: a simple proof
Gratton, Serge
Toint, Philippe L.
Optimization and Control
49M37, 65K05, 68Q17, 68W40, 90C30
F.2.1; G.1.6; I.1.2
We propose a simple proof of the worst-case iteration complexity for the Difference of Convex functions Algorithm (DCA) for unconstrained minimization, showing that the global rate of convergence of the norm of the objective function's gradients at the iterates converge to zero like o(1/k). A small example is also provided indicating that the rate cannot be improved.
title Iteration complexity of the Difference-of-Convex Algorithm for unconstrained optimization: a simple proof
topic Optimization and Control
49M37, 65K05, 68Q17, 68W40, 90C30
F.2.1; G.1.6; I.1.2
url https://arxiv.org/abs/2601.15970