Discontinuous Galerkin Gauss-Newton Inversion for Electromagnetic Imaging

被引：0
|
作者：
Jeffrey, Ian [1 ]
LoVetri, Joe [1 ]
机构：
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6, Canada
来源：
2016 17TH INTERNATIONAL SYMPOSIUM ON ANTENNA TECHNOLOGY AND APPLIED ELECTROMAGNETICS (ANTEM) | 2016年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Algorithms for solving time-harmonic electromagnetic inverse scattering problems can benefit from improved forward solver capabilities such as high-order discretizations of electromagnetic fields and constitutive parameters. The Discontinuous Galerkin Method (DGM) offers such high-order capabilities for simultaneously simulating both electric and magnetic fields from locally varying complex permittivity and permeability. In this work a Gauss-Newton Inversion (GNI) algorithm that adopts DGM as the forward solver is developed for 2D transverse magnetic inverse scattering problems.
引用
收藏
页数：2
相关论文
共 50 条
  • [31] A time-domain Gauss-Newton inversion algorithm for solving two-dimensional electromagnetic inverse scattering problems
    Liu Guang-Dong
    Zhang Kai-Yin
    ACTA PHYSICA SINICA, 2014, 63 (03)
  • [32] On the Local Convergence of the Gauss-Newton Method
    Argyros, Ioannis K.
    Hilout, Said
    PUNJAB UNIVERSITY JOURNAL OF MATHEMATICS, 2009, 41 : 23 - 33
  • [33] Gauss-Newton approximation to Bayesian learning
    Foresee, FD
    Hagan, MT
    1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 1930 - 1935
  • [34] Convergence analysis of inexact Gauss-Newton
    Gongcheng Shuxue Xuebao/Chinese Journal of Engineering Mathematics, 1997, 14 (04): : 1 - 7
  • [35] The Gauss-Newton direction in semidefinite programming
    Kruk, S
    Muramatsu, M
    Rendl, F
    Vanderbei, RJ
    Wolkowicz, H
    OPTIMIZATION METHODS & SOFTWARE, 2001, 15 (01): : 1 - 28
  • [36] Gauss-Newton optimization in diffeomorphic registration
    Hernandez, Monica
    Olmos, Salvador
    2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4, 2008, : 1083 - +
  • [37] Deep Gauss-Newton for phase retrieval
    Mom, Kannara
    Langer, Max
    Sixou, Bruno
    OPTICS LETTERS, 2023, 48 (05) : 1136 - 1139
  • [38] Continuous analog of the Gauss-Newton method
    Airapetyan, RG
    Ramm, AG
    Smirnova, AB
    MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 1999, 9 (03): : 463 - 474
  • [39] Solving kinetic inversion problems via a physically bounded Gauss-Newton (PGN) method
    Tang, WY
    Zhang, LB
    Linninger, AA
    Tranter, RS
    Brezinsky, K
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2005, 44 (10) : 3626 - 3637
  • [40] Gauss-Newton inversion with node-based basis functions: Application to imaging of seabed minerals in an area with rough bathymetry
    Mittet, Rune
    Avdeeva, Anna
    GEOPHYSICS, 2024, 89 (01) : E13 - E29
12345