Provably Convergent Plug-and-Play Quasi-Newton Methods-Reference-Cited by-同舟云学术

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Provably Convergent Plug-and-Play Quasi-Newton Methods

Published:2024-04-02 Issue:2 Volume:17 Page:785-819
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Tan Hong Ye¹,Mukherjee Subhadip¹²^ORCID,Tang Junqi¹³^ORCID,Schönlieb Carola-Bibiane¹

Affiliation:

1. Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, CB3 0WA, UK.

2. Department of Computer Science, University of Bath, Bath, BA2 7AY, UK, and Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, 721302 Kharagpur, India.

3. School of Mathematics, University of Birmingham, Birmingham, B15 2TT, UK.

Funder

Masason Foundation

GSK.ai

Leverhulme Trust

Royal Society

Engineering and Physical Sciences Research Council

Wellcome Trust

H2020 Marie Skłodowska-Curie Actions

Cantab Capital Institute for the Mathematics of Information

Alan Turing Institute

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Reference56 articles.

1. Minimization of functions having Lipschitz continuous first partial derivatives

2. Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality

3. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods

4. FISTA is an automatic geometrically optimized algorithm for strongly convex functions

5. Convex Analysis and Monotone Operator Theory in Hilbert Spaces

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