A sparse regularization approach to inverse heat source identification

•A new sparse regularization approach is proposed for both location and strength identification of the heat sources.•The key idea resides at that the heat sources are always spatially sparse.•Numerical examples show that the sparse regularization indeed improves the robustness of heat source identif...

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Bibliographic Details
Published in:	International journal of heat and mass transfer Vol. 142; p. 118430
Main Authors:	Lu, Zhong-Rong, Pan, Tiancheng, Wang, Li
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.10.2019 Elsevier BV
Subjects:	Algorithms Alternating minimization algorithm Heat source identification Heat sources Identification Regularization Robustness (mathematics) Sparse regularization Sparsity Steady state Stormwater Threshold setting method Sparse regularization Threshold setting method Heat source identification Alternating minimization algorithm
ISSN:	0017-9310, 1879-2189
Online Access:	Get full text
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