Iterated preconditioned LSQR method for inverse problems on unstructured grids

DOI10.1088/0266-5611/30/7/075009zbMath1321.65094OpenAlexW2061994019MaRDI QIDQ2874808

Lauri Harhanen, Marta M. Betcke, Simon R. Arridge

Publication date: 8 August 2014

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/30/7/075009

zbMATH Keywords

algorithmnumerical examplealgebraic multigridfixed point iterationKrylov methodsill-posed inverse problemsinhomogeneous diffusiondiffuse optical tomographypriorconditioningBayesian preconditioninglarge-scale linear least squares problem

Mathematics Subject Classification ID

Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical mathematical programming methods (65K05) Large-scale problems in mathematical programming (90C06) Quadratic programming (90C20) Preconditioners for iterative methods (65F08)

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Uses Software

• LSQR
• LSMR
• Toast++

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