A multi-level preconditioned Krylov method for the efficient solution of algebraic tomographic reconstruction problems

DOI10.1016/j.cam.2014.12.044zbMath1311.65162arXiv1310.0956OpenAlexW2117347707WikidataQ62663805 ScholiaQ62663805MaRDI QIDQ2018482

Jan Sijbers, Wim Vanroose, Pieter Ghysels, Wim van Aarle, Siegfried Cools

Publication date: 24 March 2015

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

Full work available at URL: https://arxiv.org/abs/1310.0956

zbMATH Keywords

waveletsconvergencepreconditioningmultigridnumerical experimenttomographyKrylov methodslinear iterative methodalgebraic reconstructionlinear inversion problem

Mathematics Subject Classification ID

Radon transform (44A12) Numerical methods for wavelets (65T60) Numerical methods for integral transforms (65R10) Numerical methods for inverse problems for integral equations (65R32) Preconditioners for iterative methods (65F08)

Related Items (2)

A hybrid shifted Laplacian multigrid and domain decomposition preconditioner for the elastic Helmholtz equations ⋮ A Diagonal Sweeping Domain Decomposition Method with Source Transfer for the Helmholtz Equation

Uses Software

• TVR-DART

Cites Work

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