› Description Drawing upon combined decades of teaching experience, Professors Sara Baase and Allen Van Gelder have extensively revised this best seller to make it the most current and accessible choice for any algorithms course. The new Third Edition features the addition of new topics and exercises and an increased emphasis on algorithm design techniques such as divide-and-conquer and greedy algorithms. It continues the tradition of solid mathematical analysis and clear writing style that made it so popular in previous editions.

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Material on accelerated version of Heapsort, section on computing with DNA, chapter on Dynamic Sets. NEW - NEW! Expanded treatment of recursion with a clear, student-friendly review of how it works, and why it is a valuable programming technique. Pg. NEW - NEW!

Expanded mathematical background emphasizes practical techniques, including solutions to recurrence equations. Pg.

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NEW - NEW! Review of abstract data types, with Java class definitions for several commonly used ADTs such as list, tree, stack, and priority queue. Pg. NEW - NEW!

Pseudocode updated from Pascal-like to Java-like; includes an appendix with Java examples. Pg. More than 100 new exercises. About the Author(s) Sara Baase is a Professor of Computer Science at San Diego State University, and has been teaching CS for 25 years. Baase is a three-time recipient of the San Diego State University Alumni Association's Outstanding Faculty Award, and she has written a number of textbooks in the areas of algorithms, assembly language and social and ethical issues related to computing.

She earned her doctorate at the University of California, Berkeley. Allen Van Gelder is a Professor of Computer Science at the University of California at Santa Cruz, where he has been teaching CS for 12 years. He received his Ph.D.

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In Computer Science at Stanford University, and is a past recipient of the Presidential Young Investigator Award. Computer Vision: Algorithms and Applications. Richard Szeliski.

September 3, 2010 draft c 2010 Springer. This electronic draft is for non-commercial personal use only, and may not be posted or re-distributed in any form. Please refer interested readers to the book's Web site at This book is one of a series of texts written by faculty of the Electrical Engineering and Computer Science. ISBN 0-262-03293-7 (hc.: alk. Paper, MIT Press).—ISBN 0-07-013151-1 (McGraw-Hill).

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Computer programming. Computer algorithms. Title: Algorithms. Later parts of this book will build upon this base.