This activity group promotes research in linear algebra and its applications. Linear algebra is a fundamental tool in modeling and computation. This area covers research and computational methods in linear algebra and matrix analysis. A few examples of the diverse areas of application are signal processing, systems and control theory, statistics, Markov chains, and mathematical biology.
We organize the triennial SIAM Conference on Applied Linear Algebra, a triennial International Summer School on Numerical Linear Algebra (ISSNLA) for graduate students, and minisymposia at the SIAM Annual Meeting. Members of the activity group receive discounted registration.
SIAM Journal on Matrix Analysis and Applications (SIMAX) publishes research papers on matrix and tensor theory, analysis, applications, and computation that are of interest to the applied and numerical linear algebra communities.
SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms and their accuracy, stability, and computational complexity.
SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest.
SIAM Activity Groups provide a more focused forum for SIAM members interested in exploring one of the areas of applied mathematics, computational science, or applications. Get connected.
SIAM Activity Groups provide a more focused forum for SIAM members interested in exploring one of the areas of applied mathematics, data and computational science, or applications. Get connected.