An Introduction to Queueing Theory and Matrix-Analytic Methods

An Introduction to Queueing Theory and Matrix-Analytic Methods by L. Breuer is a comprehensive textbook published by Springer Science & Business Media on November 7, 2005. This edition spans 272 pages and is presented in English. The book is based on a two-semester course taught at the University of Trier, Germany, focusing on queuing theory and matrix-analytic methods, aimed at last-year undergraduate and first-year graduate students in applied probability and computer science.
Readers will find that this textbook balances the mathematical foundations necessary for understanding queueing analysis with practical applications. It emphasizes the importance of concrete queueing models while ensuring that students grasp the essential mathematical concepts without becoming overwhelmed by complex theories. The course structure includes lectures and exercises designed to engage students who are interested in applying these methods in real-world scenarios, making it a valuable resource for those pursuing studies in mathematics, probability, and computer science.
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The present textbook contains the recordsof a two–semester course on que- ing theory, including an introduction to matrix–analytic methods. This course comprises four hours oflectures and two hours of exercises per week andhas been taughtattheUniversity of Trier, Germany, for about ten years in – quence. The course is directed to last year undergraduate and?rst year gr- uate students of applied probability and computer science, who have already completed an introduction to probability theory. Its purpose is to present – terial that is close enough to concrete queueing models and their applications, while providing a sound mathematical foundation for the analysis of these. Thus the goal of the present book is two–fold. On the one hand, students who are mainly interested in applications easily feel bored by elaborate mathematical questions in the theory of stochastic processes. The presentation of the mathematical foundations in our courses is chosen to cover only the necessary results, which are needed for a solid foundation of the methods of queueing analysis. Further, students oriented – wards applications expect to have a justi?cation for their mathematical efforts in terms of immediate use in queueing analysis. This is the main reason why we have decided to introduce new mathematical concepts only when they will be used in the immediate sequel. On the other hand, students of applied probability do not want any heur- tic derivations just for the sake of yielding fast results for the model at hand.
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