A least squares space-time approach for parabolic equations

  • We propose a least squares formulation for abstract parabolic equations in the natural L2(0,T;V⋆)×Hnorm which only relies on natural regularity assumptions on the data of the problem. The resulting bilinear form then is symmetric, coercive, and continuous and contains the V⋆-norm. We propose a solution approach that uses a conforming Galerkin discretization of an equivalent saddle point problem to circumvent the evaluation of V⋆-norms. We prove strong convergence of discrete solutions towards continuous solutions and provide a preconditioner for efficient numerical solution of the discrete saddle point problem. We illustrate our analytical findings by selected numerical experiments.

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Metadaten
Author:Michael HinzeORCID, Christian KahleORCID, Michael StahlORCID
URN:urn:nbn:de:hbz:kob7-27286
DOI:https://doi.org/10.1007/s10444-026-10345-0
ISSN:1019-7168
ISSN:1572-9044
Parent Title (English):Advances in Computational Mathematics
Publisher:Springer
Document Type:Article
Language:English
Date of Publication (online):2026/08/20
Date of first Publication:2026/08/20
Publishing Institution:Universität Koblenz, Universitätsbibliothek
Release Date:2026/08/21
Tag:Least squares formulation; Saddle point problem; Space-time finite elements
Volume:52
Issue:5
Article Number:70
Page Number:24
Licence (German): CC BY - Namensnennung 4.0 International
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