Chambolle-Pock's primal-dual method with mismatched adjoint

DOI10.1007/s00245-022-09933-5OpenAlexW4316041087MaRDI QIDQ2682364

Felix Schneppe, Dirk A. Lorenz

Publication date: 31 January 2023

Published in: Applied Mathematics and Optimization (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2201.04928

zbMATH Keywords

convex optimizationprimal-dual methodsadjoint mismatchChambolle-Pock algorithm

Mathematics Subject Classification ID

Convex programming (90C25) Numerical methods involving duality (49M29) Numerical optimization and variational techniques (65K10)

Related Items (2)

Mathematical imaging and surface processing. Abstracts from the workshop held August 21--27, 2022 ⋮ Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch

Uses Software

• ASTRA

Cites Work

• The randomized Kaczmarz method with mismatched adjoint
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Mathematical image processing. Translated from the German
• Testing and non-linear preconditioning of the proximal point method
• The Mathematics of Computerized Tomography
• Unmatched Projector/Backprojector Pairs: Perturbation and Convergence Analysis
• Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems
• Convergence of proximal gradient algorithm in the presence of adjoint mismatch ^*
• On the Convergence of Primal-Dual Hybrid Gradient Algorithm
• Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector

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