Matrix analytic methods are popular as modeling tools because they give one the ability to construct and analyze a wide class of queuing models in a unified and algorithmically tractable way. The authors present the basic mathematical ideas and algorithms of the matrix analytic theory in a readable
Introduction to matrix analytic methods in stochastic modeling
✍ Scribed by G. Latouche, V. Ramaswami
- Publisher
- Society for Industrial and Applied Mathematics
- Year
- 1987
- Tongue
- English
- Leaves
- 349
- Series
- ASA-SIAM series on statistics and applied probability
- Edition
- illustrated edition
- Category
- Library
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Philadelphia, SIAM, 1999. — 349 p.<div class="bb-sep"></div>Монография посвящена использованию основанного на матричном исчислении подхода к изучению марковских цепей, очередей, процессов восстановления и других задач, связанных с моделированием стохастических процессов, а также разработке на основе
<p>Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intr
<span>Matrix-analytic methods (MAM) were introduced by Professor Marcel Neuts and have been applied to a variety of stochastic models since. In order to provide a clear and deep understanding of MAM while showing their power, this book presents MAM concepts and explains the results using a number of