Introduction to Matrix Analytic Methods in Stochastic Modeling
Author | : G. Latouche |
Publisher | : SIAM |
Total Pages | : 348 |
Release | : 1999-01-01 |
ISBN-10 | : 0898719739 |
ISBN-13 | : 9780898719734 |
Rating | : 4/5 (734 Downloads) |
Download or read book Introduction to Matrix Analytic Methods in Stochastic Modeling written by G. Latouche and published by SIAM. This book was released on 1999-01-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, up-to-date, and comprehensive manner. In the current literature, a mixed bag of techniques is used-some probabilistic, some from linear algebra, and some from transform methods. Here, many new proofs that emphasize the unity of the matrix analytic approach are included.