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Inverse problems in imaging and engineering science

  • Received: 08 January 2020 Accepted: 08 January 2020 Published: 12 February 2020
  • Citation: Lauri Oksanen, Mikko Salo. Inverse problems in imaging and engineering science[J]. Mathematics in Engineering, 2020, 2(2): 287-289. doi: 10.3934/mine.2020014

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    [1] Alberti G, Capdeboscq Y, Privat Y (2020) On the randomised stability constant for inverse problems. Mathematics in Engineering 2: 264-286.
    [2] Blåsten E, Zouari F, Louati M, et al. (2019) Blockage detection in networks: the area reconstruction method. Mathematics in Engineering 1: 849-880. doi: 10.3934/mine.2019.4.849
    [3] Chen Y, Cheng J, Floridia G, et al. (2020) Conditional stability for an inverse source problem and an application to the estimation of air dose rate radioactive substances by drone data. Mathematics in Engineering 2: 26-33. doi: 10.3934/mine.2020002
    [4] García-Ferrero MÁ, Rüland A (2019) Strong unique continuation for the higher order fractional Laplacian. Mathematics in Engineering 1: 715-774. doi: 10.3934/mine.2019.4.715
    [5] Li J, Liu H, Tsui W-Y, et al. (2019) An inverse scattering approach for geometric body generation: a machine learning perspective. Mathematics in Engineering 1: 800-823. doi: 10.3934/mine.2019.4.800
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    [7] Nguyen H-M, Nguyen T (2019) Approximate cloaking for the heat equation via transformation optics. Mathematics in Engineering 1: 775-788. doi: 10.3934/mine.2019.4.775
    [8] Stefanov P (2020) Conditionally stable unique continuation and applications to thermoacoustic tomography. Mathematics in Engineering 2: 26-33. doi: 10.3934/mine.2020002
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