The 12th International Conference on Matrix-Analytic Methods in Stochastic Models
Description
Matrix-analytic methods (MAM) offer powerful mathematical tools for analyzing complex stochastic models. These methods involve the use of matrices to represent the underlying probabilistic structure of the system being studied. By leveraging matrix operations and techniques, researchers can derive analytical solutions and obtain insights into various performance measures of interest. Matrix-analytic methods have found applications in a wide range of fields, including telecommunications, manufacturing, transportation, finance, and healthcare. The scientific background of the MAM conference revolves around exploring and refining these methods, developing new theoretical frameworks, and applying them to real-world problems.