Computational Methods for Numerical Linear Algebra
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "C: Mathematical Analysis".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 279
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue on Computational Methods for Numerical Linear Algebra aims to highlight the latest advancements and innovative techniques in the field. Numerical linear algebra is foundational to various scientific and engineering applications, and efficient computational methods are crucial for solving large-scale problems that arise in data analysis, machine learning, simulations, and other fields.
We invite contributions that explore new algorithms, theoretical developments, and practical implementations in numerical linear algebra. Topics of interest include, but are not limited to, iterative methods for solving linear systems, eigenvalue problems, singular value decomposition, matrix and tensor factorization techniques, parallel and distributed computing approaches, and quantum computing. We also welcome studies that address numerical stability, complexity analysis, and applications of these methods in real-world scenarios.
By fostering collaboration and knowledge exchange among researchers and practitioners, this Special Issue aims to advance the state-of-the-art computational methods for numerical linear algebra, providing a comprehensive resource for those seeking to enhance their understanding and application of these critical techniques. We encourage authors to submit original research papers that contribute to this evolving field.
Dr. Junjun Pan
Guest Editor
Manuscript Submission Information
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Keywords
- eigenvalue problems
- singular value decomposition
- matrix/tensor factorization techniques
- parallel and distributed computing approaches
- quantum computing
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