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《算法设计手册》是Steven S. Skiena的经典之作，详细介绍了数据结构、动态规划等核心技术和经典问题，帮助读者提高编程技能，解决实际问题。第二版更新了大量内容，适合学生和专业人士。

• 文件名称：The Algorithm Design Manual.pdf

• 文件类型：PDF文档

• 文件标签：算法、计算机科学、程序员

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Steven S. Skiena
The Algorithm Design Manual
Second Edition
123

Steven S. Skiena
Department of Computer Science
State University of New York

at Stony Brook
New York, USA
skiena@cs.sunysb.edu

ISBN: 978-1-84800-069-8
e-ISBN: 978-1-84800-070-4
DOI: 10.1007/978-1-84800-070-4

British Library Cataloguing in Publication Data
A catalogue record for this book is available from the British Library

Library of Congress Control Number: 2008931136

c⃝Springer-Verlag London Limited 2008
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Printed on acid-free paper

Springer Science+Business Media
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Preface

Most professional programmers that I’ve encountered are not well prepared to
tackle algorithm design problems. This is a pity, because the techniques of algorithm
design form one of the core practical technologies of computer science. Designing
correct, efficient, and implementable algorithms for real-world problems requires
access to two distinct bodies of knowledge:

• Techniques – Good algorithm designers understand several fundamental al-
gorithm design techniques, including data structures, dynamic programming,
depth-first search, backtracking, and heuristics. Perhaps the single most im-
portant design technique is modeling, the art of abstracting a messy real-world
application into a clean problem suitable for algorithmic attack.

• Resources – Good algorithm designers stand on the shoulders of giants.
Rather than laboring from scratch to produce a new algorithm for every task,
they can figure out what is known about a particular problem. Rather than
re-implementing popular algorithms from scratch, they seek existing imple-
mentations to serve as a starting point. They are familiar with many classic
algorithmic problems, which provide sufficient source material to model most
any application.

This book is intended as a manual on algorithm design, providing access to
combinatorial algorithm technology for both students and computer professionals.
It is divided into two parts: Techniques and Resources. The former is a general
guide to techniques for the design and analysis of computer algorithms. The Re-
sources section is intended for browsing and reference, and comprises the catalog
of algorithmic resources, implement...