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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 73, 2024 - Issue 3
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Research Article

Fast convex optimization via a third-order in time evolution equation: TOGES-V an improved version of TOGES*

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Pages 575-595 | Received 04 Jul 2020, Accepted 18 Aug 2022, Published online: 06 Sep 2022
 

Abstract

In a Hilbert space setting H, for convex optimization, we analyse the fast convergence properties as t+ of the trajectories tu(t)H generated by a third-order in time evolution system. The function f:HR to minimize is supposed to be convex, continuously differentiable, with argminHf. It enters into the dynamic through its gradient. Based on this new dynamical system, we improve the results obtained by Attouch et al. [Fast convex optimization via a third-order in time evolution equation. Optimization. 2020;71(5):1275–1304]. As a main result, when the damping parameter α satisfies α>3, we show that f(u(t))infHf=o(1/t3) as t+, as well as the convergence of the trajectories. We complement these results by introducing into the dynamic an Hessian-driven damping term, which reduces the oscillations. In the case of a strongly convex function f, we show an autonomous evolution system of the third-order in time with an exponential rate of convergence. All these results have natural extensions to the case of a convex lower semicontinuous function f:HR{+}. Just replace f with its Moreau envelope.

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Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

Throughout the paper, H is a real Hilbert space, endowed with the scalar product , and the associated norm . Unless specified, f:HR is a C1 convex function with argminHf. We take t0>0 as the origin of time (this is justified by the singularity at the origin of the damping coefficient γ(t)=αt which is used in the paper).

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