Stochastic Networks
Paul Glasserman
Reading Time
at 250 WPM4h 58m
The average reader, reading at a speed of 250 WPM, would take 4h 58m to read Stochastic Networks.
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298
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Stochastic Networks
by Paul Glasserman, Karl Sigman, David D. Yao
Published
2012
Publisher
Springer London, Limited
Pages
298
ISBN-13
9781461240624
Description
Two of the most exciting topics of current research in stochastic networks are the complementary subjects of stability and rare events. Both are classical topics that have experienced renewed interest motivated by new applications to emerging technologies. For example, new stability issues arise in the scheduling of multiple classes in semiconductor manufacturing, the so-called "re-entrant lines," and a prominent need for studying rare events is associated with the design of telecommunication systems using the new ATM (asynchronous transfer mode) technology so as to guarantee quality of service. The objective of this volume is to present a sample of recent research problems, methodologies, and results in these two exciting and burgeoning areas. This volume originated from a workshop held at Columbia University in 1995 organized by Columbia's Center for Applied Probability.
Subjects
The fractal geometry of nature
Workshop statistics
Stochastic processes
Control and Dynamic Systems
Doing Data Science
Probability and stochastic processes
Frequently Asked Questions
How many pages are in Stochastic Networks?
This edition of Stochastic Networks has approximately 298 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Stochastic Networks?
For most readers, Stochastic Networks typically takes between 6h 13m and 4h 8m to complete. This is based on the book's length of approximately 74,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 4h 58m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 10 days • Estimated word count: 74,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Stochastic Networks?
The estimated word count for Stochastic Networks is approximately 74,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Stochastic Networks?
Stochastic Networks was written by Paul Glasserman, Karl Sigman, David D. Yao.
When was Stochastic Networks published?
The publication date for this specific edition is 2012. The original work may have been published on a different date.