Parabolic Problem

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Vo Van Au - One of the best experts on this subject based on the ideXlab platform.

  • analysis of a quasi reversibility method for a terminal value quasi linear Parabolic Problem with measurements
    Siam Journal on Mathematical Analysis, 2019
    Co-Authors: Nguyen Huy Tuan, Vo Anh Khoa, Vo Van Au
    Abstract:

    This paper presents a modified quasi-reversibility method for computing the exponentially unstable solution of a nonlocal terminal-boundary value Parabolic Problem with noisy data. Based on data me...

  • analysis of a quasi reversibility method for a terminal value quasi linear Parabolic Problem with measurements
    arXiv: Numerical Analysis, 2018
    Co-Authors: Nguyen Huy Tuan, Vo Anh Khoa, Vo Van Au
    Abstract:

    This paper presents a modified quasi-reversibility method for computing the exponentially unstable solution of a nonlocal terminal-boundary value Parabolic Problem with noisy data. Based on data measurements, we perturb the Problem by the so-called filter regularized operator to design an approximate Problem. Different from recently developed approaches that consist in the conventional spectral methods, we analyze this new approximation in a variational framework, where the finite element method can be applied. To see the whole skeleton of this method, our main results lie in the analysis of a semi-linear case and we discuss some generalizations where this analysis can be adapted. As is omnipresent in many physical processes, there is likely a myriad of models derived from this simpler case, such as source localization Problems for brain tumors and heat conduction Problems with nonlinear sinks in nuclear science. With respect to each noise level, we benefit from the Faedo-Galerkin method to study the weak solvability of the approximate Problem. Relying on the energy-like analysis, we provide detailed convergence rates in $L^2$-$H^1$ of the proposed method when the true solution is sufficiently smooth. Depending on the dimensions of the domain, we obtain an error estimate in $L^{r}$ for some $r>2$. Proof of the backward uniqueness for the quasi-linear system is also depicted in this work. To prove the regularity assumptions acceptable, several physical applications are discussed.

Nguyen Huy Tuan - One of the best experts on this subject based on the ideXlab platform.

  • analysis of a quasi reversibility method for a terminal value quasi linear Parabolic Problem with measurements
    Siam Journal on Mathematical Analysis, 2019
    Co-Authors: Nguyen Huy Tuan, Vo Anh Khoa, Vo Van Au
    Abstract:

    This paper presents a modified quasi-reversibility method for computing the exponentially unstable solution of a nonlocal terminal-boundary value Parabolic Problem with noisy data. Based on data me...

  • analysis of a quasi reversibility method for a terminal value quasi linear Parabolic Problem with measurements
    arXiv: Numerical Analysis, 2018
    Co-Authors: Nguyen Huy Tuan, Vo Anh Khoa, Vo Van Au
    Abstract:

    This paper presents a modified quasi-reversibility method for computing the exponentially unstable solution of a nonlocal terminal-boundary value Parabolic Problem with noisy data. Based on data measurements, we perturb the Problem by the so-called filter regularized operator to design an approximate Problem. Different from recently developed approaches that consist in the conventional spectral methods, we analyze this new approximation in a variational framework, where the finite element method can be applied. To see the whole skeleton of this method, our main results lie in the analysis of a semi-linear case and we discuss some generalizations where this analysis can be adapted. As is omnipresent in many physical processes, there is likely a myriad of models derived from this simpler case, such as source localization Problems for brain tumors and heat conduction Problems with nonlinear sinks in nuclear science. With respect to each noise level, we benefit from the Faedo-Galerkin method to study the weak solvability of the approximate Problem. Relying on the energy-like analysis, we provide detailed convergence rates in $L^2$-$H^1$ of the proposed method when the true solution is sufficiently smooth. Depending on the dimensions of the domain, we obtain an error estimate in $L^{r}$ for some $r>2$. Proof of the backward uniqueness for the quasi-linear system is also depicted in this work. To prove the regularity assumptions acceptable, several physical applications are discussed.

  • on a backward Parabolic Problem with local lipschitz source
    Journal of Mathematical Analysis and Applications, 2014
    Co-Authors: Nguyen Huy Tuan, Dang Duc Trong
    Abstract:

    Abstract We consider the regularization of the backward in time Problem for a nonlinear Parabolic equation in the form u t + A u ( t ) = f ( u ( t ) , t ) , u ( 1 ) = φ , where A is a positive self-adjoint unbounded operator and f is a local Lipschitz function. As known, it is ill-posed and occurs in applied mathematics, e.g. in neurophysiological modeling of large nerve cell systems with action potential f in mathematical biology. A new version of quasi-reversibility method is described. We show that the regularized Problem (with a regularization parameter β > 0 ) is well-posed and that its solution U β ( t ) converges on [ 0 , 1 ] to the exact solution u ( t ) as β → 0 + . These results extend some earlier works on the nonlinear backward Problem.

Marco Picasso - One of the best experts on this subject based on the ideXlab platform.

  • a posteriori error estimates and adaptive finite elements for a nonlinear Parabolic Problem related to solidification
    Computer Methods in Applied Mechanics and Engineering, 2003
    Co-Authors: O Kruger, Marco Picasso, Jeanfrancois Scheid
    Abstract:

    A posteriori error estimates are derived for a nonlinear Parabolic Problem arising from the isothermal solidification of a binary alloy. Space discretization with continuous, piecewise linear finite elements is considered. The L-2 in time H-1 in space error is bounded above and below by an error estimator based on the equation residual. Numerical results show that the effectivity index is close to one. An adaptive finite element algorithm is proposed and a solutal. dendrite is computed. (C) 2002 Elsevier Science B.V. All rights reserved.

  • adaptive finite elements for a linear Parabolic Problem
    Computer Methods in Applied Mechanics and Engineering, 1998
    Co-Authors: Marco Picasso
    Abstract:

    A posteriori error estimates for the heat equation in two space dimensions are presented. A classical discretization is used, Euler backward in time, and continuous, piecewise linear triangular finite elements in space. The error is bounded above and below by an explicit error estimator based on the residual. Numerical results are presented for uniform triangulations and constant time steps. The quality of our error estimator is discussed. An adaptive algorithm is then proposed. Successive Delaunay triangulations are generated, so that the estimated relative error is close to a preset tolerance. Again, numerical results demonstrate the efficiency of our approach. (C) 1998 Elsevier Science S.A. All rights reserved.

Marián Slodička - One of the best experts on this subject based on the ideXlab platform.

Vladimir G Kamburg - One of the best experts on this subject based on the ideXlab platform.