Print Email Facebook Twitter A Krylov Subspace Approach to Parametric Inversion of Electromagnetic Data Based on Residual Minimization Title A Krylov Subspace Approach to Parametric Inversion of Electromagnetic Data Based on Residual Minimization Author Balidemaj, E. Contributor Remis, R.F. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Laboratory of Electromagnetic Research Programme Inverse Scattering Date 2010-06-21 Abstract In this thesis 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. Subject KrylovBalidemajresidualinversescatteringelectromagneticminimizationMaxwellArnoldiGMRESShifted Linear SystemsEffective InversioninversionKrylov Subspaces To reference this document use: http://resolver.tudelft.nl/uuid:61866f68-49dd-4b25-b88c-001559941e94 Embargo date 2010-08-10 Part of collection Student theses Document type master thesis Rights (c) 2010 Balidemaj, E. Files PDF Master_Thesis_-_E._Balide ... 213504.PDF 1.37 MB Close viewer /islandora/object/uuid:61866f68-49dd-4b25-b88c-001559941e94/datastream/OBJ/view