Difference and differential equations with applications in queueing theory (Q2844617)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Difference and differential equations with applications in queueing theory |
scientific article; zbMATH DE number 6203034
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Difference and differential equations with applications in queueing theory |
scientific article; zbMATH DE number 6203034 |
Statements
29 August 2013
0 references
difference equation
0 references
differential equation
0 references
queueing theory
0 references
probability
0 references
statistics
0 references
textbook
0 references
linear difference equation
0 references
differential-difference equation
0 references
Difference and differential equations with applications in queueing theory (English)
0 references
The textbook is devoted to applications of difference and differential equations in queueing theory. It is divided into five chapters and basic knowledge of the calculus is required to comprehend it.NEWLINENEWLINEIn Chapter 1, foundations of the theory of probability and statistics are given. In Chapter 2, some transformations (such as Fourier, Laplace, \(\mathcal{Z}\)-transform) and probability generating functions are studied. Chapter 3 is focused on the theory of differential equation (separable, linear, exact, second order, partial difference equations). Similarly, the theory of linear difference equations with constant coefficients, their systems, nonlinear equations, and differential-difference equations is described in Chapter 4. Finally, the applications in the queueing theory are established in Chapter 5. In particular, a single-server Markovian queue, a multiserver parallel queue, many-server parallel queues with feedback or with balking and reneging, and a single-server Markovian queueing system with splitting and delayed feedback are studied. Tables with values of some probability distributions are given in the appendix. Several solved examples and many exercises are included in every chapter.
0 references