“…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
In this article, we consider a nonlinear partial differential system describing two-phase transports and try to recover the source term and the nonlinear diffusion term when the state variable is known at different profile times. To this end, we use a POD-Galerkin procedure in which the proper orthogonal decomposition technique is applied to the ensemble of solutions to derive empirical eigenfunctions. These empirical eigenfunctions are then used as basis functions within a Galerkin method to transform the partial differential equation into a set of ordinary differential equations. Finally, the validation of the used method has been evaluated by some numerical examples.
“…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
In this article, we consider a nonlinear partial differential system describing two-phase transports and try to recover the source term and the nonlinear diffusion term when the state variable is known at different profile times. To this end, we use a POD-Galerkin procedure in which the proper orthogonal decomposition technique is applied to the ensemble of solutions to derive empirical eigenfunctions. These empirical eigenfunctions are then used as basis functions within a Galerkin method to transform the partial differential equation into a set of ordinary differential equations. Finally, the validation of the used method has been evaluated by some numerical examples.
“…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%
“…In the next section, we consider the inverse problem (1)-(5), and describes some existence and uniqueness results for the solution pair (D(ω), ω) satisfying (1)- (5). The coefficient D(ω) will be determine in terms of q, f , f 1 , f 2 , and f 3 .…”
This paper deals with the problem of determining of an unknown coefficient in an inverse boundary value problem. Using a nonconstant overspecified data, it has been shown that the solution to this inverse problem exists and is unique. 2004 Elsevier Inc. All rights reserved.
“…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.…”
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