General Theory of Inverse Problems and Their Numerical Methods
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 5
Special Issue Editors
Interests: theoretical and numerical methods for general inverse problems; regularization theory; sparse inverse problem; image and signal recovery
Interests: inverse problems; iterative regularization
Special Issue Information
Dear Colleagues,
This interdisciplinary Special Issue combines mathematical and experimental research on inverse problems with theoretical, numerical and practical approaches to their solution.
As well as applied mathematicians, physical scientists and engineers, the targeted readership includes those working in geophysics, radar, optics, biology, acoustics, communication theory, signal processing and imaging.
We welcome original contributions on the methods of solving mathematical, physical and applied problems. To be publishable in this Special Issue, papers must meet the highest standards of scientific quality, contain significant and original new science, and should present substantial advancements in the field. Due to the broad scope of the journal, we require that authors provide sufficient introductory material to appeal to a wide readership and that articles which are not explicitly dedicated to applied research include a discussion of possible applications.
Dr. Liang Ding
Prof. Dr. Wei Wang
Dr. Yong Chen
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- inverse problems
- ill-posed problems
- regularization
- optimization
- numerical methods
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