Matrix-Analytic Methods in Stochastic Models (MAM) conferences aim to bring together researchers working on the theoretical, algorithmic and methodological aspects of matrix-analytic methods in stochastic models and the applications of such mathematical research across a broad spectrum of fields, which includes computer science and engineering, telephony and communication networks, electrical and industrial engineering, operations research, management science, financial and risk analysis, bio-statistics, and evolution.
The conference will provide an international forum for:
- Presenting recent results on theory, algorithms and applications concerning matrix-analytic methods in stochastic models;
- Discussing methodologies and the related algorithmic analysis;
- Improving collaborations among researchers in applied probability, engineering and numerical analysis;
- Tracing the current state of the art and the lines of the future research, pointing out the main topics of interest.