Entropy- and tikhonov-based regularization techniques applied to the backwards heat equation

The goal of this paper is to analyze the performance of different regularization techniques for an inverse heat conduction problem (IHCP): the estimation of the initial condition. The inverse problem is formulated as a nonlinear constrained optimization problem, and a regularization term is added to...

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Published inComputers & mathematics with applications (1987) Vol. 40; no. 8; pp. 1071 - 1084
Main Authors Muniz, W.B., Ramos, F.M., de Campos Velho, H.F.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.10.2000
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ISSN0898-1221
1873-7668
DOI10.1016/S0898-1221(00)85017-8

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Abstract The goal of this paper is to analyze the performance of different regularization techniques for an inverse heat conduction problem (IHCP): the estimation of the initial condition. The inverse problem is formulated as a nonlinear constrained optimization problem, and a regularization term is added to the objective function with the help of a regularization parameter. Three classes of regularization methods have been considered: Tikhonov regularization, maximum entropy principle, and truncated singular value decomposition. Concerning the entropíc methodology, two new techniques are introduced and good results were obtained using synthetic data corrupted with noise. The Morozov's discrepancy principle is used to find out the regularization parameter.
AbstractList The goal of this paper is to analyze the performance of different regularization techniques for an inverse heat conduction problem (IHCP): the estimation of the initial condition. The inverse problem is formulated as a nonlinear constrained optimization problem, and a regularization term is added to the objective function with the help of a regularization parameter. Three classes of regularization methods have been considered: Tikhonov regularization, maximum entropy principle, and truncated singular value decomposition. Concerning the entropíc methodology, two new techniques are introduced and good results were obtained using synthetic data corrupted with noise. The Morozov's discrepancy principle is used to find out the regularization parameter.
Author de Campos Velho, H.F.
Muniz, W.B.
Ramos, F.M.
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  surname: de Campos Velho
  fullname: de Campos Velho, H.F.
  email: fernando@lac.inpe.br
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Cites_doi 10.1103/PhysRev.106.620
10.1590/S0102-261X1997000200003
10.1016/0017-9310(94)00119-G
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Issue 8
Keywords Backwards heat equation
Tikhonov regularization
Maximum entropy principle
Language English
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SubjectTerms Backwards heat equation
Maximum entropy principle
Tikhonov regularization
Title Entropy- and tikhonov-based regularization techniques applied to the backwards heat equation
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