Strong Convergence of FISTA for Affinely Constrained Convex Quadratic Minimization

Fuente: arXiv
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Hauptverfasser: Bartz, Sedi, Bauschke, Heinz H., Gao, Yuan, Moursi, Walaa M.
Format: Preprint
Veröffentlicht: 2026
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_version_ 1866914439421231104
author Bartz, Sedi
Bauschke, Heinz H.
Gao, Yuan
Moursi, Walaa M.
author_facet Bartz, Sedi
Bauschke, Heinz H.
Gao, Yuan
Moursi, Walaa M.
contents In October 2025, research by Boţ, Fadili, and Nguyen, and by Jang and Ryu, led to the seminal result that Beck and Teboulle's FISTA converges weakly to a minimizer of the sum of two convex functions resolving a long-standing open problem. The first strong convergence result was obtained in November 2025 by Moursi, Naguib, Pavlovic, and Vavasis for affinely constrained convex minimization provided certain closedness conditions hold. In this paper, we prove strong convergence in the affine-quadratic case without any closedness assumption. Specializing this to the unconstrained case, we obtain the strong convergence of Nesterov's accelerated gradient method when applied to a convex quadratic objective function.
format Preprint
id arxiv_https___arxiv_org_abs_2604_01636
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Strong Convergence of FISTA for Affinely Constrained Convex Quadratic Minimization
Bartz, Sedi
Bauschke, Heinz H.
Gao, Yuan
Moursi, Walaa M.
Optimization and Control
5K05, 65K10, 90C20, 90C25 (Primary) 47H09 (Secondary)
In October 2025, research by Boţ, Fadili, and Nguyen, and by Jang and Ryu, led to the seminal result that Beck and Teboulle's FISTA converges weakly to a minimizer of the sum of two convex functions resolving a long-standing open problem. The first strong convergence result was obtained in November 2025 by Moursi, Naguib, Pavlovic, and Vavasis for affinely constrained convex minimization provided certain closedness conditions hold. In this paper, we prove strong convergence in the affine-quadratic case without any closedness assumption. Specializing this to the unconstrained case, we obtain the strong convergence of Nesterov's accelerated gradient method when applied to a convex quadratic objective function.
title Strong Convergence of FISTA for Affinely Constrained Convex Quadratic Minimization
topic Optimization and Control
5K05, 65K10, 90C20, 90C25 (Primary) 47H09 (Secondary)
url https://arxiv.org/abs/2604.01636