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DATA STRUCTURES: A PSEUDOCODE APPROACH WITH C, …

Licensed to: data Structures: A PSEUDOCODE APPROACH with C, Second EditionRichard F. GilbergBehrouz A. ForouzanSenior Product Manager:Alyssa PrattSenior Acquisitions Editor:Amy YarnevichProduction Editor:BobbiJo Frasca Senior Marketing Manager:Karen SeitzAssociate Product Manager:Mirella MisiaszekEditorial Assistant:Amanda PiantedosiSenior Manufacturing Coordinator:Trevor KallopCover Designer:Abby ScholzCOPYRIGHT 2005 Course Technology, a division of Thomson Learning, Inc. Thomson Learning is a trademark used herein under in the United States of America1 2 3 4 5 6 7 8 9 QWT 09 08 07 06 05 For more information, contact Course Technology, 25 Thomson Place, Boston, Massachusetts, find us on the World Wide Web at: RIGHTS RESERVED. No part of this work covered by the copyright hereon may be reproduced or used in any form or by any means graphic, electronic, or mechanical, including photocopying, recording, taping, Web distribution, or information storage and retrieval systems without the written permission of the permission to use material from this text or product, submit a request online at additional questions about permissions can be submitted by email to DisclaimerCourse Technology reserves the right to revise this publication and make changes from time to time in its content without : 978-0-534-39080-8 ISBN-10: 0-534-39080-3 Copyright 2011 Cengage Learning.

cuss data structures because many of the abstract data types are recursive by nature and algorithms that handle them can be better understood using recursion. We use recursive algorithms extensively, especially in Part III, “Non-Linear Lists.” Recursion versus Repetition The first part of the chapter compares and contrasts recursion and ...

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