Title
Probability, Markov Chains, Queues, And Simulation: The Mathematical Basis Of Performance Modeling
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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 Graduate And Advanced Undergraduate Students Taking Courses In Which Stochastic Processes Play A Fundamental Role. The Textbook Is Relevant To A Wide Variety Of Fields, Including Computer Science, Engineering, Operations Research, Statistics, And Mathematics.The Textbook Looks At The Fundamentals Of Probability Theory, From The Basic Concepts Of Setbased Probability, Through Probability Distributions, To Bounds, Limit Theorems, And The Laws Of Large Numbers. Discrete And Continuoustime Markov Chains Are Analyzed From A Theoretical And Computational Point Of View. Topics Include The Chapmankolmogorov Equations; Irreducibility; The Potential, Fundamental, And Reachability Matrices; Random Walk Problems; Reversibility; Renewal Processes; And The Numerical Computation Of Stationary And Transient Distributions. The M/M/1 Queue And Its Extensions To More General Birthdeath Processes Are Analyzed In Detail, As Are Queues With Phasetype Arrival And Service Processes. The M/G/1 And G/M/1 Queues Are Solved Using Embedded Markov Chains; The Busy Period, Residual Service Time, And Priority Scheduling Are Treated. Open And Closed Queueing Networks Are Analyzed. The Final Part Of The Book Addresses The Mathematical Basis Of Simulation.Each Chapter Of The Textbook Concludes With An Extensive Set Of Exercises. An Instructor'S Solution Manual, In Which All Exercises Are Completely Worked Out, Is Also Available (To Professors Only).Numerous Examples Illuminate The Mathematical Theoriescarefully Detailed Explanations Of Mathematical Derivations Guarantee A Valuable Pedagogical Approacheach Chapter Concludes With An Extensive Set Of Exercises
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Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
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Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
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Frequently Asked Questions
- Q: What is the main focus of 'Probability, Markov Chains, Queues, and Simulation'? A: The textbook focuses on the mathematical processes underlying performance modeling, covering probability theory, Markov chains, queues, and simulation.
- Q: Who is the author of this textbook? A: The author of the textbook is William J. Stewart.
- Q: What topics are covered in the chapters on Markov chains? A: The chapters analyze discrete and continuous-time Markov chains, including topics like Chapman-Kolmogorov equations, irreducibility, renewal processes, and random walk problems.
- Q: How does the book approach the subject of queues? A: The book provides detailed analysis of queues including M/M/1 queues, M/G/1, and G/M/1 queues, and discusses embedded Markov chains, busy periods, and priority scheduling.
- Q: Is there a solution manual available for instructors? A: Yes, an instructor's solution manual is available, containing worked-out solutions to all exercises in the textbook.
- Q: What level of students is this textbook suitable for? A: The textbook is suitable for graduate and advanced undergraduate students studying stochastic processes.
- Q: How many pages does the book have? A: The textbook consists of 776 pages.
- Q: What is the condition of the book? A: The book is listed as 'New'.
- Q: When was this textbook published? A: The textbook was published on July 26, 2009.
- Q: Are there exercises at the end of each chapter? A: Yes, each chapter concludes with an extensive set of exercises to reinforce learning.