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[S256.Ebook] Fee Download Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo

Fee Download Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo

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Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo

Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo



Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo

Fee Download Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo

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Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (Johns Hopkins Studies in the Mathematical Sciences), by Professo

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
Features
  • 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)

See all 2 customer reviews...

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