Accelerated first-order optimization under nonlinear constraints

We exploit analogies between first-order algorithms for constrained optimization and non-smooth dynamical systems to design a new class of accelerated first-order algorithms for constrained optimization. Unlike Frank–Wolfe or projected gradients, these algorithms avoid optimization over the entire f...

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Bibliographic Details

Published in:	Mathematical programming
Main Authors:	Muehlebach, Michael, Jordan, Michael I.
Format:	Journal Article
Language:	English
Published:	21.04.2025
ISSN:	0025-5610, 1436-4646
Online Access:	Get full text
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