This paper studies a non-linear inverseproblem associated with the Laplace equation of identifying the robin coefficient from boundary measurements. A variational formulation of the problem is suggested, thereby tran...
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This paper studies a non-linear inverseproblem associated with the Laplace equation of identifying the robin coefficient from boundary measurements. A variational formulation of the problem is suggested, thereby transforming it into an optimization problem. Mathematical properties relevant to its numerical computation are established. The optimization problem is solved using the conjugate gradient method in conjunction with the discrepancy principle, and the algorithm is implemented using the boundary element method. Numerical results are presented for several benchmark problems with both exact and noisy data, and the convergence of the algorithm with respect to mesh refinement and decreasing the amount of noise in the data is investigated. Copyright (C) 2006 John Wiley & Sons, Ltd.
We present iterative numerical methods for solving the inverseproblem of recovering the nonnegative robin coefficient from partial boundary measurement of the solution to the Laplace equation. Based on the boundary i...
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We present iterative numerical methods for solving the inverseproblem of recovering the nonnegative robin coefficient from partial boundary measurement of the solution to the Laplace equation. Based on the boundary integral equation formulation of the problem, nonnegativity constraints in the form of a penalty term are incorporated conveniently into least-squares iteration schemes for solving the inverseproblem. Numerical implementation and examples are presented to illustrate the effectiveness of this strategy in improving recovery results.
We present a direct, linear boundary integral equation method for the inverseproblem of recovering the robin coefficient from a single partial boundary measurement of the solution to the Laplace equation.
We present a direct, linear boundary integral equation method for the inverseproblem of recovering the robin coefficient from a single partial boundary measurement of the solution to the Laplace equation.
In this work, we determine the unknown robin coefficient in a degenerate parabolic equation. In inverse analysis, the problem under consideration is nonlinear with an ill-formulated operator and nonlocal. For the stab...
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In this work, we determine the unknown robin coefficient in a degenerate parabolic equation. In inverse analysis, the problem under consideration is nonlinear with an ill-formulated operator and nonlocal. For the stable identification of the unknown robin coefficient, the inverseproblem is formulated into a regularised optimization problem. We discuss a variety of practical challenges associated with the problem. The finite element approximation is used to discretize the continuous optimization problem. The convergence and stability analyses are also discussed. Morozov's discrepancy principle is used with the conjugate gradient procedure to construct an iterative scheme. Finally, experiment results are reported to demonstrate the efficiency of the proposed schemes.
In the paper we develop a novel optimal splitting-linearizing method (OSLM) to iteratively solve a non-linear inverse Cauchy problem in a simply-connected domain. The nonlinear term in the nonlinear ellip-tic equation...
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In the paper we develop a novel optimal splitting-linearizing method (OSLM) to iteratively solve a non-linear inverse Cauchy problem in a simply-connected domain. The nonlinear term in the nonlinear ellip-tic equation is decomposed at two sides through a splitting parameter, which is then linearized around the value at the previous iteration step. The multiple-scale Pascal-polynomial method together with the OSLM is employed to solve the Cauchy problem, of which the optimal value of the splitting parameter is achieved by minimizing a theoretic merit function. Then, we solve the Cauchy/robin inverse problem of a nonlinear elliptic equation in a doubly-connected domain for recovering the unknown Cauchy data and robin transfer coefficient on an inner boundary. Two-parameter bases are derived to automatically sat-isfy the prescribed Cauchy boundary conditions on the outer boundary. When the solution is convergent after solving a sequence of linear systems, one can retrieve the Cauchy data very accurately. Simultane-ously, the unknown robin transfer coefficient is recovered from a given convective boundary condition on the inner boundary by either a division method or a linear system method. To overcome the ill-posed property of Cauchy/robinproblems, the optimal splitting parameter and a scaling factor play the role as regularization parameters. These methods assembled are new techniques to solve the Cauchy/robin inverse problems. Although a few overspecified data are merely given on the outer boundary, the novel method is quite accurate, robust against large noise, and is convergent very fast to find the entire so-lution, the Cauchy data and the robin transfer coefficient. We assess the convergence by the computed order of convergence (COC) of the proposed iterative algorithms.& COPY;2023 Elsevier Ltd. All rights reserved.
Based on a new a posteriori error estimator, an adaptive finite element method is proposed for recovering the robin coefficient involved in a diffusion system from some boundary measurement. The a posteriori error est...
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Based on a new a posteriori error estimator, an adaptive finite element method is proposed for recovering the robin coefficient involved in a diffusion system from some boundary measurement. The a posteriori error estimator cannot be derived for this ill-posed nonlinear inverseproblem as was done for the existing a posteriori error estimators for direct problems. Instead, we shall derive the a posteriori error estimator from our convergence analysis of the adaptive algorithm. We prove that the adaptive algorithm guarantees a convergent subsequence of discrete solutions in an energy norm to some exact triplet (the robin coefficient, state and costate variables) determined by the optimality system of the least-squares formulation with Tikhonov regularization for the concerned inverseproblem. Some numerical results are also reported to illustrate the performance of the algorithm.
This article investigates the uniqueness of identifying the fractional-order, potential, and robin coefficient simultaneously in one-dimensional time-fractional diffusion equation with non-homogeneous boundary conditi...
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This article investigates the uniqueness of identifying the fractional-order, potential, and robin coefficient simultaneously in one-dimensional time-fractional diffusion equation with non-homogeneous boundary condition. By using one boundary measurement, we prove that the fractional-order, potential on the entire interval, and robin coefficient are determined simultaneously from asymptotic properties of the Mittag-Leffler function and the Marchenko's uniqueness theorem. (C) 2020 Elsevier Ltd. All rights reserved.
A finite-element method is proposed for the nonlinear inverseproblem of estimating the robin coefficient in a stationary diffusion equation from boundary measurements of the solution and the heat flux. The inverse pr...
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A finite-element method is proposed for the nonlinear inverseproblem of estimating the robin coefficient in a stationary diffusion equation from boundary measurements of the solution and the heat flux. The inverseproblem is formulated as an output least squares optimization problem with an appropriate regularization, then the finite-element method is employed to discretize the nonlinear optimization system. Mathematical properties of both the continuous and the discrete optimization problems are investigated. The conjugate gradient method is employed to solve the optimization problem, and an efficient preconditioner via the Sobolev inner product is also suggested. Numerical results for several two-dimensional problems are presented to illustrate the efficiency of the proposed algorithm.
This paper investigates a nonlinear inverseproblem associated with a fractional diffusion equation for identifying a robin coefficient in the boundary conditions from a boundary measurement. The existence and uniquen...
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This paper investigates a nonlinear inverseproblem associated with a fractional diffusion equation for identifying a robin coefficient in the boundary conditions from a boundary measurement. The existence and uniqueness of a weak solution for the corresponding direct problem is provided. We formulate the inverseproblem into a regularized variational problem and deduce the gradient of the regularization functional based on an adjoint problem. Then the standard conjugate gradient method is employed to solve the variational problem. The numerical results for three examples are presented to illustrate the efficiency of the proposed algorithm. (C) 2016 Elsevier Inc. All rights reserved.
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