<p>We will occasionally footnote a portion of text with a "**,, to indicate Notes on the that this portion can be initially bypassed. The reasons for bypassing a Text portion of the text include: the subject is a special topic that will not be referenced later, the material can be skipped on first r
Probability, Stochastic Processes and Queueing Theory. The Mathematics of Computer Performance Modeling
โ Scribed by Randolph Nelson
- Publisher
- Springer
- Year
- 1995
- Tongue
- English
- Leaves
- 590
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Preface......Page 3
Contents......Page 5
Figures......Page 17
Tables......Page 20
1 Introduction......Page 22
2 Randomness & Probability......Page 37
3 Combinatorics......Page 65
4 Random Variables & Distributions......Page 120
5 Expectation & Fundamental Theorems......Page 185
6 Poisson Process & Renewal Theory......Page 251
7 M/G/1 Queue......Page 299
8 Markov Processes......Page 344
9 Matrix Geometric Solutions......Page 405
10 Queueing Networks......Page 443
11 Epilogue & Special Topics......Page 516
Types of Randomness......Page 526
Combinatorial Equalities & Inequalities......Page 542
Tables of Laplace Transforms & Generating Functions......Page 547
Limits & Order Relationships......Page 556
List of Common Summations......Page 559
Biblio......Page 562
Refs......Page 567
Notation......Page 575
Index......Page 584
๐ SIMILAR VOLUMES
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduat
"Probability, Markov Chains, Queues, and Simulation" provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to gradu
<p><i>Probability, Markov Chains, Queues, and Simulation</i> provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling. The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible