The SIAM Journal on Matrix Analysis and Applications (SIMAX) focuses on advancing the mathematical understanding of matrices. Its early summary will discuss: Rigorous analysis of matrices and their applications in mathematics and computation. It covers linear algebra, numerical analysis, optimization, and control theory. As a publication of the Society for Industrial and Applied Mathematics (SIAM), SIMAX sets a high standard for research in these areas. The journal bridges the gap between theoretical matrix analysis and its practical applications.
SIMAX features articles on eigenvalue problems, matrix equations, linear systems, matrix functions, and applications in areas such as network analysis, data mining, and machine learning. Indexed in prominent databases like Scopus and Web of Science, the journal reaches a global audience of mathematicians, computer scientists, engineers, and researchers.
Consider SIMAX for your next submission if you are looking for a platform to share innovative research that advances the frontiers of matrix analysis and its applications. The journal contributes significantly to the development and dissemination of knowledge in the mathematical and computational sciences. It requires rigorous proofs and substantial numerical experiments.