Literature DB >> 33746329

A DOMAIN DECOMPOSITION PRECONDITIONING FOR AN INVERSE VOLUME SCATTERING PROBLEM.

Carlos Borges1, George Biros2.   

Abstract

We propose domain decomposition preconditioners for the solution of an integral equation formulation of the acoustic forward and inverse scattering problems. We study both forward and inverse volume problems and propose preconditioning techniques to accelerate the iterative solvers. For the forward scattering problem, we extend the domain decomposition based preconditioning techniques presented for partial differential equations in "A restricted additive Schwarz preconditioner for general sparse linear systems", SIAM Journal on Scientific Computing, 21 (1999), pp. 792-797, to integral equations. We combine this domain decomposition preconditioner with a low-rank correction, which is easy to construct, forming a new preconditioner. For the inverse scattering problem, we use the forward problem preconditioner as a building block for constructing a preconditioner for the Gauss-Newton Hessian. We present numerical results that demonstrate the performance of both preconditioning strategies.

Entities:  

Year:  2020        PMID: 33746329      PMCID: PMC7971429          DOI: 10.1088/1361-6420/ab6e78

Source DB:  PubMed          Journal:  Inverse Probl        ISSN: 0266-5611            Impact factor:   2.407


  2 in total

1.  Randomized algorithms for the low-rank approximation of matrices.

Authors:  Edo Liberty; Franco Woolfe; Per-Gunnar Martinsson; Vladimir Rokhlin; Mark Tygert
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-04       Impact factor: 11.205

2.  A SEMI-LAGRANGIAN TWO-LEVEL PRECONDITIONED NEWTON-KRYLOV SOLVER FOR CONSTRAINED DIFFEOMORPHIC IMAGE REGISTRATION.

Authors:  Andreas Mang; George Biros
Journal:  SIAM J Sci Comput       Date:  2017-11-21       Impact factor: 2.373

  2 in total

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