2021
DOI: 10.24996/ijs.2021.62.3.25
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Numerical Solution to Recover Time-dependent Coefficient and Free Boundary from Nonlocal and Stefan Type Overdetermination Conditions in Heat Equation

Abstract: This paper investigates the recovery for time-dependent coefficient and free boundary for heat equation. They are considered under mass/energy specification and Stefan conditions. The main issue with this problem is that the solution is unstable and sensitive to small contamination of noise in the input data. The Crank-Nicolson finite difference method (FDM) is utilized to solve the direct problem, whilst the inverse problem is viewed as a nonlinear optimization problem. The latter problem is solved numericall… Show more

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Cited by 8 publications
(11 citation statements)
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“…The IP-I given by ( 1)-( 4) and IP-II given by ( 1)-( 3) and ( 5) are solved subject to noisy measurement and the exact data (4) or (5). The noise contaminated is simulated as [37][38][39][40][41]:…”
Section: Inverse Problemmentioning
confidence: 99%
“…The IP-I given by ( 1)-( 4) and IP-II given by ( 1)-( 3) and ( 5) are solved subject to noisy measurement and the exact data (4) or (5). The noise contaminated is simulated as [37][38][39][40][41]:…”
Section: Inverse Problemmentioning
confidence: 99%
“…Infectious diseases have caused millions of deaths and disabilities Worldwide. As a result, researchers from various fields of science and medicine are working to develop an effective solution to stop the transmission of infectious diseases see [1][2][3]. A lack of safe drinking water causes waterborne diseases such as cholera, typhoid, and hepatitis.…”
Section: Introductionmentioning
confidence: 99%
“…Where the development of the numerical method was strongly affected and this progress is still being seen constantly. Inverse problems in phoneme setting have been examined by many authors such Radial Basis Functions method and Fragile Points Method applied in [10] and [33] respectively, Tikhonov regularization method used in [14], [29], [6], [13], [20], [2], [16] and Lavrentiev regularization method [21]. The twentieth century is constantly being researched for practical applications, such as in medicine, biology geophysics mineral investigation, filtration and computer tomography [12], [24], [31].…”
Section: Introductionmentioning
confidence: 99%