Iterative computational identification of a spacewise dependent the source in a parabolic equations
Petr N. Vabishchevich

TL;DR
This paper presents iterative numerical methods for identifying the spatial dependence of the right-hand side in multidimensional parabolic equations using overdetermined data, with demonstrated effectiveness through numerical examples.
Contribution
It introduces two novel iterative approaches for solving inverse problems involving spatially dependent sources in parabolic PDEs, utilizing final and integral overdetermination data.
Findings
Methods successfully recover spatial source dependence in 2D models.
Numerical examples validate the accuracy and stability of the proposed algorithms.
Finite-element and implicit schemes effectively implement the methods.
Abstract
Coefficient inverse problems related to identifying the right-hand side of an equation with use of additional information is of interest among inverse problems for partial differential equations. When considering non-stationary problems, tasks of recovering the dependence of the right-hand side on time and spatial variables can be treated as independent. These tasks relate to a class of linear inverse problems, which sufficiently simplifies their study. This work is devoted to a finding the dependence of right-hand side of multidimensional parabolic equation on spatial variables using additional observations of the solution at the final point of time - the final overdetermination. More general problems are associated with some integral observation of the solution on time - the integral overdetermination. The first method of numerical solution of inverse problems is based on iterative…
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Taxonomy
TopicsNumerical methods in inverse problems · Statistical and numerical algorithms · Differential Equations and Boundary Problems
