Huntul, MJ, Lesnic, D and Hussein, MS (2017) Reconstruction of time-dependent coefficients from heat moments. Applied Mathematics and Computation, 301. pp. 233-253. ISSN 0096-3003
Abstract
This paper investigates the inverse problems of simultaneous reconstruction of time-dependent thermal conductivity, convection or absorption coefficients in the parabolic heat equation governing transient heat and bio-heat thermal processes. Using initial and boundary conditions, as well as heat moments as over-determination conditions ensure that these inverse problems have a unique solution. However, the problems are still ill-posed since small errors in the input data cause large errors in the output solution. To overcome this instability we employ the Tikhonov regularization. A discussion of the choice of multiple regularization parameters is provided. The finite-difference method with the Crank–Nicolson scheme is employed as a direct solver. The resulting inverse problems are recast as nonlinear minimization problems and are solved using the lsqnonlin routine from the MATLAB toolbox. Numerical results are presented and discussed.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2016 Elsevier Inc. This is an author produced version of a paper published in Applied Mathematics and Computation. Uploaded in accordance with the publisher's self-archiving policy. |
| Keywords: | Inverse problem; Tikhonov's regularization; heat transfer; heat moments |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 03 Jan 2017 11:39 |
| Last Modified: | 10 Jan 2018 01:38 |
| Published Version: | https://doi.org/10.1016/j.amc.2016.12.028 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.amc.2016.12.028 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109850 |
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