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相关论文: A Regularization for Time-Fractional Backward Heat…

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It is well-known that the backward heat conduction problem of recovering the temperature $u(\cdot, t)$ at a time $t\geq 0$ from the knowledge of the temperature at a later time, namely $g:= u(\cdot, \tau)$ for $\tau>t$, is ill-posed, in the…

数值分析 · 数学 2023-03-29 M. Thamban Nair , P. Danumjaya

In this contribution we show sufficient conditions for simultaneous unique identification of unknown spacewise coefficients and heat source in a parabolic partial differential equation given additional final time measurements. Our approach…

数值分析 · 数学 2012-10-30 Adriano De Cezaro , Fabiana Travessini De Cezaro

In this paper we proposed two new quasi-boundary value methods for regularizing the ill-posed backward heat conduction problems. With a standard finite difference discretization in space and time, the obtained all-at-once nonsymmetric…

数值分析 · 数学 2021-07-15 Jun Liu

In this work, an accurate regularization technique based on the Meyer wavelet method is developed to solve the ill-posed backward heat conduction problem with time-dependent thermal diffusivity factor in an infinite "strip". In principle,…

泛函分析 · 数学 2018-04-18 Milad Karimi , Fridoun Moradlou , Mojtaba Hajipour

In this paper, we study the stochastic convergence of regularized solutions for backward heat conduction problems. These problems are recognized as ill-posed due to the exponential decay of eigenvalues associated with the forward problems.…

数值分析 · 数学 2023-11-08 Zhongjian Wang , Wenlong Zhang , Zhiwen Zhang

This paper focuses on the regularization of backward time-fractional diffusion problem on unbounded domain. This problem is well-known to be ill-posed, whence the need of a regularization method in order to recover stable approximate…

数值分析 · 数学 2022-01-03 Walter Simo Tao Lee

In this paper, we regularize the nonlinear inverse time heat problem in the unbounded region by Fourier method. Some new convergence rates are obtained. Meanwhile, some quite sharp error estimates between the approximate solution and exact…

偏微分方程分析 · 数学 2009-11-16 Alain Pham Ngoc Dinh , Dang Duc Trong , Pham Hoang Quan , Nguyen Huy Tuan

To deal with the ill-posed nature of the inverse heat conduction problem (IHCP), the regularization parameter alpha can be incorporated into a minimization problem, which is known as Tikhonov regularization method, a popular technique to…

数值分析 · 数学 2021-10-05 C. Ahn , C. Park , DI. Park , JG. Kim

This article presents a mathematical study of the problem of identifying a time-dependent source term in transport processes described by a timefractional parabolic equation, based on noisy time-dependent measurements taken at an arbitrary…

偏微分方程分析 · 数学 2026-04-06 Guillermo Federico Umbricht , Diana Rubio

This paper addresses a backward heat conduction problem with fractional Laplacian and time-dependent coefficient in an unbounded domain. The problem models generalized diffusion processes and is well-known to be severely ill-posed. We…

数值分析 · 数学 2022-02-22 Walter C. Simo Tao Lee

In this paper, we study the backward problem of determining initial condition for some class of nonlinear parabolic equations in multidimensional domain where data are given under random noise. This problem is ill-posed, i.e., the solution…

偏微分方程分析 · 数学 2017-02-08 Mokhtar Kirane , Erkan Nane , Nguyen Huy Tuan

An initial-boundary value problem for the time-fractional diffusion equation is discretized in space using continuous piecewise-linear finite elements on a polygonal domain with a re-entrant corner. Known error bounds for the case of a…

数值分析 · 数学 2017-12-21 Kim Ngan Le , William McLean , Bishnu Lamichhane

Integral equation based numerical methods are directly applicable to homogeneous elliptic PDEs, and offer the ability to solve these with high accuracy and speed on complex domains. In this paper, extensions to problems with inhomogeneous…

数值分析 · 数学 2019-07-22 Fredrik Fryklund , Mary Catherine A. Kropinski , Anna-Karin Tornberg

This work is devoted to the reconstruction of the initial temperature in the backward heat equation using the space-time finite element method on fully unstructured space-time simplicial meshes proposed by Steinbach (2015). Such a severely…

数值分析 · 数学 2021-04-01 Ulrich Langer , Olaf Steinbach , Fredi Tröltzsch , Huidong Yang

We consider the initial boundary value problem of non-homogeneous stochastic heat equation. The derivative of the solution with respect to time receives heavy random perturbation. The space boundary is Lipschitz and we impose non-zero…

偏微分方程分析 · 数学 2011-07-01 Tongkeun Chang , Kijung Lee , Minsuk Yang

This paper considers the regularization continuation method and the trust-region updating strategy for the optimization problem with linear equality constraints.The proposed method utilizes the linear conservation law of the regularization…

数值分析 · 数学 2022-04-11 Xin-long Luo , Hang Xiao

The inverse one-phase Stefan problem in one dimension, aimed at identifying the unknown time-dependent heat flux P(t) with a known moving boundary position s(t), is investigated. A previous study [16] attempted to reconstruct the unknown…

数值分析 · 数学 2024-10-28 Orazbek Narbek , Samat A. Kassabek , Targyn Nauryz

We consider a finite element discretization for the reconstruction of the final state of the heat equation, when the initial data is unknown, but additional data is given in a sub domain in the space time. For the discretization in space we…

数值分析 · 数学 2017-07-24 Erik Burman , Jonathan Ish-Horowicz , Lauri Oksanen

This work deals with the problem of determining a non-homogeneous heat conductivity profile in a steady-state heat conduction boundary-value problem with mixed Dirichlet-Neumann boundary conditions over a bounded domain in $\mathbb{R}^n$,…

数值分析 · 数学 2022-08-25 Angel A. Ciarbonetti , Sergio Idelsohn , Ruben D. Spies

We solve an inverse problem for the one-dimensional heat diffusion equation. We reconstruct the heat source function for the three types of data: 1) single position point and different times, 2) constant time and uniformly distributed…

数值分析 · 数学 2014-10-28 Tomasz M. Lapinski , Sergey Leble
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