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Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo
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Topics include matrix-geometric invariant vectors, buffer models, queues in a random environment and more.
- Sales Rank: #4722347 in Books
- Brand: Brand: The Johns Hopkins University Press
- Published on: 1981-06-01
- Ingredients: Example Ingredients
- Original language: English
- Dimensions: 9.84" h x .59" w x 7.87" l,
- Binding: Hardcover
- 348 pages
- Used Book in Good Condition
Most helpful customer reviews
3 of 4 people found the following review helpful.
Useful but advanced
By A Customer
This book presents matrix geometric results from advanced queueing theory topics. In general, the book is hard to read for beginners in the field, but it provides a concise overview of the phase type distributions.
0 of 1 people found the following review helpful.
Excellent book
By Mad Tinker
An excellent and challenging discussion for those interested in algorithmic methods, particularly phase type distributions. Not a book for the feint of heart. A previous introduction to queueing theory is definintely helpful (e.g. Kleinrock v1/2, or Ross)
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