A krylov subspace approach to parametric inversion of electromagnetic data based on residual minimization

E Balidemaj, RF Remis

    Research output: Contribution to journalArticleProfessional

    2 Citations (Scopus)

    Abstract

    In this paper we present a Krylov subspace technique and use residual minimization to efficiently solve parametric electromagnetic inversion problems. We exploit the shift-invariance property of Krylov subspaces to compute total fields inside a homogeneous object for a whole range of contrast values. As soon as these fields are found, we can determine the corresponding scattered fields in a straightforward manner. This approach allows us to solve the inverse problem by simply inspecting an objective function which measures the discrepancy between the measured and modeled scattered field data.
    Original languageEnglish
    Pages (from-to)773-777
    Number of pages5
    JournalPIERS Online
    Volume6
    Issue number8
    DOIs
    Publication statusPublished - 2010

    Keywords

    • other public output
    • Vakpubl., Overig wet. > 3 pag

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