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Lieferstatus:	i.d.R. innert 14-24 Tagen versandfertig
Veröffentlichung:	November 2005
Genre:	Schulbücher
	B / Computer Communication Networks / Computer communication systems / computer science / Computer system failures / Computers / Mathematical & statistical software / Mathematical Modeling and Industrial Mathematics / Mathematical modelling / Mathematical models / Mathematical statistics / Mathematical theory of computation / Mathematics and Statistics / Maths for computer scientists / Maths for engineers / Network hardware / Probabilities / Probability and Statistics in Computer Science / Probability Theory / Probability Theory and Stochastic Processes / Stochastics / System Performance and Evaluation / Systems analysis & design / Theory of Computation
ISBN:	9781402036309
EAN-Code:	9781402036309
Verlag:	Springer Netherlands
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 22 mm
Gewicht:	600 gr
Seiten:	288
Zus. Info:	HC runder Rücken kaschiert
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.