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  • We report on the state of the art in the development of a non-linear conjugate gradient (NLCG) version of the 2-D inverse algorithm for magnetotelluric (MT) data over structures with arbitrary electrical anisotropy. The algorithm is based on the Occam inverse strategy. As a direct solver, our 2-D finite volume forward modeling program for structures with arbitrary anisotropy is employed, which is also further used to effectively evaluate parametric sensitivities by employing the reciprocity principle. A standard Polak-Ribiere NLCG algorithm is then applied to minimize the inversion objective function which consists of a data misfit term and of regularization penalties applied to both the structure complexity and anisotropy throughout the model. The algorithm offers considerable savings to the computing time and memory demands due to both the reciprocity-based evaluation of the parametric sensitivities and on-line computation of products of the Jacobian and its transverse with a vector within the CG algorithm.
  • We report on the state of the art in the development of a non-linear conjugate gradient (NLCG) version of the 2-D inverse algorithm for magnetotelluric (MT) data over structures with arbitrary electrical anisotropy. The algorithm is based on the Occam inverse strategy. As a direct solver, our 2-D finite volume forward modeling program for structures with arbitrary anisotropy is employed, which is also further used to effectively evaluate parametric sensitivities by employing the reciprocity principle. A standard Polak-Ribiere NLCG algorithm is then applied to minimize the inversion objective function which consists of a data misfit term and of regularization penalties applied to both the structure complexity and anisotropy throughout the model. The algorithm offers considerable savings to the computing time and memory demands due to both the reciprocity-based evaluation of the parametric sensitivities and on-line computation of products of the Jacobian and its transverse with a vector within the CG algorithm. (en)
Title
  • Non-linear conjugate gradient magnetotelluric inversion for 2-D anisotropic conductivities
  • Non-linear conjugate gradient magnetotelluric inversion for 2-D anisotropic conductivities (en)
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  • Non-linear conjugate gradient magnetotelluric inversion for 2-D anisotropic conductivities
  • Non-linear conjugate gradient magnetotelluric inversion for 2-D anisotropic conductivities (en)
skos:notation
  • RIV/67985530:_____/12:00388144!RIV13-AV0-67985530
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP210/10/2227)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
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  • 154394
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  • RIV/67985530:_____/12:00388144
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  • magnetotelluric method; electrical conductivity anisotropy; non-linear conjugate gradient; inverse problem (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [77D626E1B2DC]
http://linked.open...i/riv/nazevZdroje
  • Protokoll über das 24. Schmucker-Weidelt-Kolloquium für Elektromagnetische Tiefenforschung
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 24
http://linked.open...iv/tvurceVysledku
  • Pek, Josef
  • Li, Y.
  • Santos, F. A. M.
issn
  • 0946-7467
number of pages
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