Open AccessAugmented Lagrangian–Based First-Order Methods for Convex-Constrained Programs with Weakly Convex Objective
Author(s) -
Zichong Li,
Yangyang Xu
Publication year - 2021
Publication title -
informs journal on optimization
Language(s) - English
Resource type - Journals
eISSN - 2575-1492
pISSN - 2575-1484
DOI - 10.1287/ijoo.2021.0052
Subject(s) - karush–kuhn–tucker conditions , augmented lagrangian method , mathematical optimization , constraint (computer aided design) , quadratic equation , penalty method , mathematics , interior point method , regular polygon , trust region , lagrangian , lagrange multiplier , convex optimization , computer science , computer security , radius , geometry
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