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| SIAM Journal on Matrix Analysis and Applications | |
|---|---|
| Title | SIAM Journal on Matrix Analysis and Applications |
| Discipline | Applied Mathematics; Numerical Analysis |
| Publisher | Society for Industrial and Applied Mathematics |
| Country | United States |
| Frequency | Quarterly |
| Established | 1980 |
SIAM Journal on Matrix Analysis and Applications is a peer-reviewed academic journal publishing research on matrix theory, linear algebra, and their applications to computational science. The journal serves as a venue for authors working in numerical linear algebra, operator theory, and applied matrix analysis, attracting contributors associated with institutions and organizations such as Massachusetts Institute of Technology, Stanford University, Princeton University, Harvard University, and University of Cambridge. Researchers who publish here often collaborate with practitioners from Los Alamos National Laboratory, Sandia National Laboratories, IBM Research, Bell Labs, and National Institute of Standards and Technology.
The journal was founded under the auspices of the Society for Industrial and Applied Mathematics as part of a broader expansion of specialized periodicals that included SIAM Journal on Numerical Analysis and SIAM Journal on Optimization. Its establishment in 1980 followed developments in matrix theory influenced by work from scholars at Courant Institute of Mathematical Sciences, California Institute of Technology, University of California, Berkeley, University of Illinois Urbana–Champaign, and University of Toronto. Early editorial leadership featured figures affiliated with Argonne National Laboratory, Oak Ridge National Laboratory, and academic departments at Yale University and Columbia University, reflecting cross-institutional ties to both theoretical and computational initiatives such as those funded by the National Science Foundation and the Department of Energy.
The journal emphasizes rigorous analysis and computational methods for matrices and operators, accepting papers on topics related to eigenvalue problems, singular value decompositions, Krylov subspace methods, and structured matrix computations. Common themes link to research produced at Institut Henri Poincaré, Max Planck Institute for Mathematics in the Sciences, Ecole Polytechnique Fédérale de Lausanne, ETH Zurich, and University of Oxford. Applications often draw on collaborations with teams at CERN, NASA, European Space Agency, and corporations such as Google, Microsoft Research, and Intel Corporation where large-scale linear algebra problems arise. The scope also intersects with operator theory advances developed at Institute for Advanced Study and signal processing research from Bell Labs, reflecting interdisciplinary influence from numerical analysis, statistics, and computational physics.
The editorial board comprises editors-in-chief, associate editors, and editorial advisors with affiliations across leading universities and national laboratories including Princeton University, University of Chicago, Cornell University, Rice University, University of Michigan, Northwestern University, Brown University, Duke University, and University of California, Los Angeles. Publication is managed by Society for Industrial and Applied Mathematics staff in coordination with editorial offices typically hosted at member institutions. The journal appears quarterly and follows a double-blind or single-blind peer-review workflow similar to standards used by periodicals like Journal of the American Mathematical Society and Communications on Pure and Applied Mathematics.
The journal is abstracted and indexed in major bibliographic services such as Science Citation Index, Scopus, MathSciNet, Zentralblatt MATH, and INSPEC. It is included in citation databases maintained by organizations like Clarivate Analytics and Elsevier and features in institutional repositories at universities including Columbia University, University of Cambridge, and University of California system. Libraries and consortia such as Research Libraries Group, OCLC WorldCat, and national libraries in United Kingdom, France, and Germany provide catalogue access and discovery.
The journal has a recognized impact within communities focused on numerical linear algebra, computational science, and applied mathematics, comparable to established titles such as SIAM Review and Linear Algebra and its Applications. Its articles are frequently cited by researchers at Princeton Plasma Physics Laboratory, Fermilab, Lawrence Berkeley National Laboratory, and research groups at Facebook AI Research and DeepMind working on large-scale matrix computations. Awards and recognitions for influential articles have been discussed in venues connected to the American Mathematical Society, European Mathematical Society, and conferences like International Conference on Numerical Analysis and SIAM Annual Meeting.
Notable contributions include foundational work on iterative methods, preconditioning techniques, randomized algorithms for matrix approximation, and perturbation theory that influenced subsequent studies at Courant Institute of Mathematical Sciences, Institute for Computational and Experimental Research in Mathematics, and Los Alamos National Laboratory. Seminal papers have been authored by scholars affiliated with Massachusetts Institute of Technology, University of California, Berkeley, University of Wisconsin–Madison, Imperial College London, and University of Washington, and have informed software development in packages such as those from Netlib, SuiteSparse, and projects at GNU Scientific Library.
Manuscript submissions follow guidelines provided by Society for Industrial and Applied Mathematics and require original, unpublished work with clear statements of novelty and relevance. Authors typically submit through editorial systems compatible with practices at Elsevier Editorial System and use LaTeX templates similar to those employed by American Mathematical Society journals. Copyright, open access options, and archiving policies align with agreements involving institutional repositories like arXiv and mandates from funders such as National Institutes of Health and European Research Council.
Category:Mathematics journals