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International Edition

Intl. Ed.

Probability Models For Computer Science

Intl. Ed.

Probability Models For Computer Science Softcover - 2001

by Sheldon M. Ross

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Elsevier. Softcover. Brand New. “International Edition” - ISBN number and front cover may be different, but CONTENTS are same as the US edition. We ship fast via USPS/FedEx/DHL/Aramex Express Services. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS
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Details

  • Title Probability Models For Computer Science
  • Author Sheldon M. Ross
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 304
  • Volumes 1
  • Language ENG
  • Publisher Elsevier, USA
  • Publication date July 2001
  • Bookseller's Inventory # BWE-INT35709
  • ISBN 9780125980517 / 0125980515
  • Weight 1.19 lbs (0.54 kg)
  • Dimensions 9 x 6 x 0.69 in (22.86 x 15.24 x 1.75 cm)
  • Category Mathematics
  • Library of Congress subjects Computer science - Mathematics, Probabilities
  • Library of Congress Catalogue Number 2001089413
  • Dewey Decimal Code 519.2
  • Quantity available 2

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From the publisher

The role of probability in computer science has been growing for years and, in lieu of a tailored textbook, many courses have employed a variety of similar, but not entirely applicable, alternatives. To meet the needs of the computer science graduate student (and the advanced undergraduate), best-selling author Sheldon Ross has developed the premier probability text for aspiring computer scientists involved in computer simulation and modeling. The math is precise and easily understood. As with his other texts, Sheldon Ross presents very clear explanations of concepts and covers those probability models that are most in demand by, and applicable to, computer science and related majors and practitioners.

First line

Consider an experiment whose outcome is not known in advance.

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