SIAM Journal on Matrix Analysis and Applications

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About the Journal

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. Applications include such areas as signal processing, systems and control theory, statistics, Markov chains, mathematical biology, graph theory, and data science. SIMAX also publishes papers that are of a theoretical nature but have a potential impact on applications.

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