A generalized proximal-point method for convex optimization problems in Hilbert spaces

DOI10.1080/02331934.2017.1349127zbMath1383.90043OpenAlexW2735401672MaRDI QIDQ4598825

Daniel Steck, Christian Kanzow

Publication date: 15 December 2017

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2017.1349127

zbMATH Keywords

global convergenceTikhonov regularizationaugmented Lagrangian methodgeneralized proximal-point method

Mathematics Subject Classification ID

Convex programming (90C25) Programming in abstract spaces (90C48)

Related Items (3)

Safeguarded Augmented Lagrangian Methods in Banach Spaces ⋮ On Error Bounds and Multiplier Methods for Variational Problems in Banach Spaces ⋮ Augmented Lagrangian and exact penalty methods for quasi-variational inequalities

Uses Software

• LANCELOT

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