Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93877
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Title: Error analysis of finite element approximations of diffusion coefficient identification for elliptic and parabolic problems
Authors: Jin, B
Zhou, Z 
Issue Date: 2021
Source: SIAM journal on numerical analysis, 2021, v. 59, no. 1, p. 119-142
Abstract: In this work, we present a novel error analysis for recovering a spatially dependent diffusion coefficient in an elliptic or parabolic problem. It is based on the standard regularized output least-squares formulation with an H1(Ω) seminorm penalty and then discretized using the Galerkin finite element method with conforming piecewise linear finite elements for both state and coefficient and backward Euler in time in the parabolic case. We derive a priori weighted L2(Ω ) estimates where the constants depend only on the given problem data for both elliptic and parabolic cases. Further, these estimates also allow deriving standard L2(Ω ) error estimates under a positivity condition that can be verified for certain problem data. Numerical experiments are provided to complement the error analysis.
Keywords: Error estimate
Finite element approximation
Parameter identification
Tikhonov regularization
Publisher: Society for Industrial and Applied Mathematics
Journal: SIAM journal on numerical analysis 
ISSN: 0036-1429
EISSN: 1095-7170
DOI: 10.1137/20M134383X
Rights: © 2021 Society for Industrial and Applied Mathematics
The following publication Jin, B., & Zhou, Z. (2021). Error analysis of finite element approximations of diffusion coefficient identification for elliptic and parabolic problems. SIAM Journal on Numerical Analysis, 59(1), 119-142 is available at https://doi.org/10.1137/20M134383X
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