A stable numerical algorithm for solving an inverse parabolic problem
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@Article{JICS-4-290,
author = {R. Pourgholi and M. Rostamian},
title = {A stable numerical algorithm for solving an inverse parabolic problem},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {4},
number = {4},
pages = {290--298},
abstract = {In this paper we consider a numerical approach for the determination of an unknown boundary
condition in the inverse heat conduction problem (IHCP). The given heat conduction equation, the boundary
condition, and the initial condition are presented in a dimensionless form. The numerical algorithm based on
finite-difference method and the least-squares scheme for solving the inverse problem. To regularize the
resultant ill-conditioned linear system of equations, we apply the Tikhonov regularization method with L-
curve scheme to obtain the stable numerical approximation to the solution.
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22738.html}
}
TY - JOUR
T1 - A stable numerical algorithm for solving an inverse parabolic problem
AU - R. Pourgholi and M. Rostamian
JO - Journal of Information and Computing Science
VL - 4
SP - 290
EP - 298
PY - 2024
DA - 2024/01
SN - 4
DO - http://doi.org/
UR - https://global-sci.org/intro/article_detail/jics/22738.html
KW - Inverse heat conduction problem, Finite difference method, Consistency, Stability, Least-
square method, Regularization method.
AB - In this paper we consider a numerical approach for the determination of an unknown boundary
condition in the inverse heat conduction problem (IHCP). The given heat conduction equation, the boundary
condition, and the initial condition are presented in a dimensionless form. The numerical algorithm based on
finite-difference method and the least-squares scheme for solving the inverse problem. To regularize the
resultant ill-conditioned linear system of equations, we apply the Tikhonov regularization method with L-
curve scheme to obtain the stable numerical approximation to the solution.
R. Pourgholi and M. Rostamian. (2024). A stable numerical algorithm for solving an inverse parabolic problem.
Journal of Information and Computing Science. 4 (4).
290-298.
doi:
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