Fundamentals of matrix-analytic methods
Publication details: New York Springer 2013Description: xv, 349 pISBN: 9781461473299Subject(s): Algorithmic Approach | Applied Probability | Inventory Control | Markov Chains | Queuing Theory | Matrix-analytic Methods | Nonnegative Matrix | Probability Distribution | Reliability Models | Risk/insurance Analysis | Stochastic Models | Supply Chain Management | TelecommunicationsDDC classification: 519.1 Summary: Presents basic techniques in Matrix-Analytic Methods important to stochastic modeling, including conditional probabilities on the phase of Markov chains, the use of nonnegative matrices and M-matrices Provides a detailed analysis of some queuing, inventory, and supply chain models Includes examples and exercises Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpretation and constructive proofs for Matrix-Analytic Methods. Such an approach is especially useful for engineering analysis and design. Exercises and examples are provided throughout the book. (http://www.springer.com/computer/theoretical+computer+science/book/978-1-4614-7329-9)| Item type | Current library | Item location | Collection | Shelving location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|---|
| Books | Vikram Sarabhai Library | Rack 28-B / Slot 1395 (0 Floor, East Wing) | Non-fiction | General Stacks | 519.1 H3F8 (Browse shelf(Opens below)) | Available | 180131 |
Presents basic techniques in Matrix-Analytic Methods important to stochastic modeling, including conditional probabilities on the phase of Markov chains, the use of nonnegative matrices and M-matrices
Provides a detailed analysis of some queuing, inventory, and supply chain models
Includes examples and exercises
Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions.
New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpretation and constructive proofs for Matrix-Analytic Methods. Such an approach is especially useful for engineering analysis and design. Exercises and examples are provided throughout the book.
(http://www.springer.com/computer/theoretical+computer+science/book/978-1-4614-7329-9)
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