Continuous Newton-like Methods featuring Inertia and Variable Mass

Fuente: arXiv
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Autori principali: Castera, Camille, Attouch, Hedy, Fadili, Jalal, Ochs, Peter
Natura: Preprint
Pubblicazione: 2023
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author Castera, Camille
Attouch, Hedy
Fadili, Jalal
Ochs, Peter
author_facet Castera, Camille
Attouch, Hedy
Fadili, Jalal
Ochs, Peter
contents We introduce a new dynamical system, at the interface between second-order dynamics with inertia and Newton's method. This system extends the class of inertial Newton-like dynamics by featuring a time-dependent parameter in front of the acceleration, called variable mass. For strongly convex optimization, we provide guarantees on how the Newtonian and inertial behaviors of the system can be non-asymptotically controlled by means of this variable mass. A connection with the Levenberg--Marquardt (or regularized Newton's) method is also made. We then show the effect of the variable mass on the asymptotic rate of convergence of the dynamics, and in particular, how it can turn the latter into an accelerated Newton method. We provide numerical experiments supporting our findings. This work represents a significant step towards designing new algorithms that benefit from the best of both first- and second-order optimization methods.
format Preprint
id arxiv_https___arxiv_org_abs_2301_08726
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Continuous Newton-like Methods featuring Inertia and Variable Mass
Castera, Camille
Attouch, Hedy
Fadili, Jalal
Ochs, Peter
Optimization and Control
Dynamical Systems
37N40, 46N10, 49M15, 65B99, 65K10
We introduce a new dynamical system, at the interface between second-order dynamics with inertia and Newton's method. This system extends the class of inertial Newton-like dynamics by featuring a time-dependent parameter in front of the acceleration, called variable mass. For strongly convex optimization, we provide guarantees on how the Newtonian and inertial behaviors of the system can be non-asymptotically controlled by means of this variable mass. A connection with the Levenberg--Marquardt (or regularized Newton's) method is also made. We then show the effect of the variable mass on the asymptotic rate of convergence of the dynamics, and in particular, how it can turn the latter into an accelerated Newton method. We provide numerical experiments supporting our findings. This work represents a significant step towards designing new algorithms that benefit from the best of both first- and second-order optimization methods.
title Continuous Newton-like Methods featuring Inertia and Variable Mass
topic Optimization and Control
Dynamical Systems
37N40, 46N10, 49M15, 65B99, 65K10
url https://arxiv.org/abs/2301.08726