1997
DOI: 10.1016/0362-546x(95)00184-w
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An inverse problem for a nonlinear diffusion equation

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Cited by 24 publications
(17 citation statements)
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“…In general, inverse problems are difficult to solve. These problems have been discussed in the literature by many authors such as Canon [18], Beck [19], and Shidfar [20][21][22]. Here, to solve the inverse problem we use the POD-Galerkin method proposed in section 3, which provides fast and accurate solutions.…”
Section: Application To Governing Equationsmentioning
confidence: 99%
“…In general, inverse problems are difficult to solve. These problems have been discussed in the literature by many authors such as Canon [18], Beck [19], and Shidfar [20][21][22]. Here, to solve the inverse problem we use the POD-Galerkin method proposed in section 3, which provides fast and accurate solutions.…”
Section: Application To Governing Equationsmentioning
confidence: 99%
“…By demonstrating the following result, we will identify the function D(ω), when (D(ω), ω) is a solution to the inverse problem (1)- (5). For this purpose, we consider some methods introduced by Cannon [2], Matsuzawa [1], DuChateau [18], Shidfar [5,10], and Rundell [6,7].…”
Section: Existence and Uniquenessmentioning
confidence: 99%
“…For this purpose, we consider some methods introduced by Cannon [2], Matsuzawa [1], DuChateau [18], Shidfar [5,10], and Rundell [6,7]. Now, let us purpose M(x, y) = div(D(ω) grad ω), then equivalently, we have to couple systems of problems…”
Section: Existence and Uniquenessmentioning
confidence: 99%
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“…Nonlinear inverse problems have drawn the attention of many researchers and have been previously treated by many authors (Alifanov, 1994;Alifanov et al, 1995;Fatullayev, 2001;Cannon and Duchateau, 1978;Shifdar and Azary, 1997;Muzylev, 1986). Mathematically, the inverse coefficient problems belong to the class of "ill-posed problems" that is the solution should satisfy the following requirements: existence, uniqueness, and stability with respect to the inherent present errors in the measurements.…”
Section: Inverse Problem Formulationmentioning
confidence: 99%