Foundations of Algorithms Using Java Pseudocode

Neapolitan, Richard E.,Naimipour, Kumarass

ISBN 10: 0763721298 / ISBN 13: 9780763721299

Verlag: Jones & Bartlett Learning, 2004

Beschreibung

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Bestandsnummer des Verkäufers S_432183729

Bibliografische Details

• Titel: Foundations of Algorithms Using Java Pseudocode
• Verlag: Jones & Bartlett Learning
• Erscheinungsjahr: 2004
• Sprache: Englisch
• ISBN-10: 0763721298
• ISBN-13: 9780763721299
• Einband: hardcover
• Zustand: Good

Über diesen Titel

Inhaltsangabe

Foundations of Algorithms Using Java Pseudocode offers a well-balanced presentation on designing algorithms, complexity analysis of algorithms, and computational complexity that is accessible to mainstream computer science students who have a background in college algebra and discrete structures. To support their approach, the authors present mathematical concepts using standard English and a simpler notation than is found in most texts. A review of essential mathematical concepts is presented in three appendices. In addition, they reinforce the explanations with numerous concrete examples to help students grasp theoretical concepts.

Über die Autorinnen und Autoren

Richard Neapolitan's research interests include probablity'and statistics, artificial intelligence, cognitive science.and applications of probabilistic modeling to fields such as medicine, biology, and finance. Dr. Neapolitan has given talks and conducted seminars throughout the world, including Australia and Hungary. His online tutorial concerning causal learning has been viewed over 10,000 times and has a 5-star rating (see http://videolectures.net/kdd/).Dr. Neapolitan is a prolific author and has published in the most prestigious widely used broad area of reasoning under uncertainty. He has written six books, including the seminal 1989 Bayesian network text, Probabilistic Reasoning in Expert Systems; this textbook, Foundations of Algorithms (1996, 1998, 2003, 2011, 2013), which has been translated into several languages and is one of the most widely-used algorithms texts worldwide; Learning Bayesian Networks (2004); Probabilistic Methods for Financial and Marketing Informatics (2007); Probabilistic Methods for Bioinformatics (2009); and Contemporary Artificial Intelligence (2012). His approach to textbook writing is innovative; his books have the reputation of making difficult concepts easy to understand while still remaining rigorous and thought-provoking.''

Kumarss Naimipour is an Associate Professor in the Computer Science Department at Northeastern Illinois University. In 1992, he received his Ph.D. in Computer Science/Applied Mathematics from the University of Illinois at Chicago, where he taught courses in computer science and mathematics. Since joining Northeastern Illinois University in 1988, he has published several articles in professional journals and conference proceedings, and has taught different topics in computer science and mathematics. Dr. Naimipour received the Faculty Excellence Award from Northeastern Illinois University in 1994, and was also selected for inclusion in the Seventh Edition of Who's Who Among America's Teachers in 2002.