Least squares formulation for ill-posed inverse problems and applications

DOI10.1080/00036811.2021.1884228zbMath1505.35363OpenAlexW3136572681MaRDI QIDQ5867312

Eric T. Chung, Kazufumi Ito, Masahiro Yamamoto

Publication date: 14 September 2022

Published in: Applicable Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00036811.2021.1884228

zbMATH Keywords

continuous dependence on databackward heat equationill-posed inverse problemleast squares formulation

Mathematics Subject Classification ID

Ill-posed problems for PDEs (35R25) Inverse problems for PDEs (35R30)

Related Items

Isogeometric analysis and augmented Lagrangian Galerkin least squares methods for residual minimization in dual norm

Uses Software

• LSQR
• CRAIG

Cites Work

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