Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Comp,

Description: About this productProduct IdentifiersPublisherSpringer New YorkISBN-100387944524ISBN-139780387944524eBay Product ID (ePID)1057179Product Key FeaturesNumber of PagesXxviii, 584 PagesPublication NameProbability, Stochastic Processes, and Queueing Theory : The Mathematics of Computer Performance ModelingLanguageEnglishSubjectEngineering (General), Probability & Statistics / Stochastic Processes, Probability & Statistics / General, System TheoryPublication Year1995TypeTextbookAuthorRandolph NelsonSubject AreaMathematics, Technology & Engineering, ScienceFormatHardcoverDimensionsItem Height0.5 inItem Weight107.2 OzItem Length10 inItem Width7 inAdditional Product FeaturesIntended AudienceScholarly & ProfessionalLCCN95-004041CLASSIFICATION_METADATA{"IsNonfiction":["No"],"IsOther":["No"],"IsAdult":["No"],"MuzeFormatDesc":["Hardcover"],"IsChildren":["No"],"Genre":["MATHEMATICS","SCIENCE","TECHNOLOGY & ENGINEERING"],"Topic":["Engineering (General)","System Theory","Probability & Statistics / Stochastic Processes","Probability & Statistics / General"],"IsTextBook":["Yes"],"IsFiction":["No"]}Number of Volumes1 vol.IllustratedYesTable Of Content1 Introduction.- I Probability.- 2 Randomness and Probability.- 3 Combinatorics.- 4 Random Variables and Distributions.- 5 Expectation and Fundamental Theorems.- II Stochastic Processes.- 6 The Poisson Process and Renewal Theory.- 7 The M/G/1 Queue.- 8 Markov Processes.- 9 Matrix Geometric Solutions.- 10 Queueing Networks.- 11 Epilogue and Special Topics.- A Types of Randomness.- A.1 Randomness: Physical Systems.- A.1.1 Intrinsic Probability.- A.2 Randomness: Deterministic Systems.- A.2.1 The Baker's Transformation.- A.2.2 Dynamical Systems.- A.3 Deterministic Randomness**.- A.3.1 Isomorphism Between Systems.- A.3.2 Random Newtonian Systems.- A.4 Summary of Appendix A.- A.5 Problems for Appendix A.- B Combinatorial Equalities and Inequalities.- B.1 Noninteger Combinatorial Expressions.- B.2 Binomial Formula.- B.3 Stirling's (de Moivre's) Formula.- B.4 Bounds on Factorial Expressions.- B.5 Noninteger Factorials**.- C Tables of Laplace Transforms and Generating Functions.- C.0.1 Laplace Transforms.- C.1 Generating Functions.- D Limits and Order Relationships.- D.1 Limits.- D.2 Order Relationships.- E List of Common Summations.- References.- Index of Notation.SynopsisWe 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 reading, or the level of mathematics is higher than the rest of the text. In cases where a topic is self-contained, we opt to collect the material into an appendix that can be read by students at their leisure. The material in the text cannot be fully assimilated until one makes it Notes on "their own" by applying the material to specific problems. Self-discovery Problems is the best teacher and although they are no substitute for an inquiring mind, problems that explore the subject from different viewpoints can often help the student to think about the material in a uniquely per sonal way. With this in mind, we have made problems an integral part of this work and have attempted to make them interesting as well as informative., This textbook provides a comprehensive introduction to probability and stochastic processes, and shows how these subjects may be applied in computer performance modelling. The author's aim is to derive the theory in a way that combines its formal, intuitive, and applied aspects so that students may apply this indispensable tool in a variety of different settings. Readers are assumed to be familiar with elementary linear algebra and calculus, including the concept of limit, but otherwise this book provides a self-contained approach suitable for graduate or advanced undergraduate students. The first half of the book covers the basic concepts of probability including expectation, random variables, and fundamental theorems. In the second half of the book the reader is introduced to stochastic processes. Subjects covered include renewal processes, queueing theory, Markov processes, and reversibility as it applies to networks of queues. Examples and applications are drawn from problems in computer performance modelling., 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 reading, or the level of mathematics is higher than the rest of the text. In cases where a topic is self-contained, we opt to collect the material into an appendix that can be read by students at their leisure. The material in the text cannot be fully assimilated until one makes it Notes on "their own" by applying the material to specific problems. Self-discovery Problems is the best teacher and although they are no substitute for an inquiring mind, problems that explore the subject from different viewpoints can often help the student to think about the material in a uniquely per- sonal way. With this in mind, we have made problems an integral part of this work and have attempted to make them interesting as well as informative.LC Classification NumberQA273.A1-274.9Copyright Date1995ebay_catalog_id4

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