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Title: Identification of discontinuous coefficients in elliptic problems using total variation regularization
Authors: Chan, Tony F.
Tai, Xue Cheng
Keywords: DRNTU::Science::Mathematics::Analysis
Issue Date: 2003
Source: Chan, T. F., & Tai, X. C. (2003). Identification of discontinuous coefficients in elliptic problems using total variation regularization. SIAM Journal on Scientific Computing, 25(3), 881–904.
Series/Report no.: SIAM journal on scientific computing
Abstract: We propose several formulations for recovering discontinuous coefficients in elliptic problems by using total variation (TV) regularization. The motivation for using TV is its well-established ability to recover sharp discontinuities. We employ an augmented Lagrangian variational formulation for solving the output-least-squares inverse problem. In addition to the basic output-least-squares formulation, we introduce two new techniques for handling large observation errors. First, we use a filtering step to remove as much of the observation error as possible. Second, we introduce two extensions of the output-least-squares model; one model employs observations of the gradient of the state variable while the other uses the flux. Numerical experiments indicate that the combination of these two techniques enables us to successfully recover discontinuous coefficients even under large observation errors.
ISSN: 1095-7197
DOI: 10.1137/S1064827599326020
Rights: SIAM Journal on Scientific Computing @ 2003 Society for Industrial and Applied Mathematics (SIAM). The journal's website is located at
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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