Data Structures and Algorithms 1: Sorting and Searching

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The design and analysis of data structures and efficient algorithms has gained considerable importance in recent years. The concept of "algorithm" is central in computer science, and "efficiency" is central in the world of money. I have organized the material in three volumes and nine chapters. Vol. 1: Sorting and Searching (chapters I to III) Vol. 2: Graph Algorithms and NP-completeness (chapters IV to VI) Vol. 3: Multi-dimensional Searching and Computational G- metry (chapters VII and VIII) Volumes 2 and 3 have volume 1 as a common basis but are indepen­ dent from each other. Most of volumes 2 and 3 can be understood without knowing volume 1 in detail. A general kowledge of algorith­ mic principles as laid out in chapter 1 or in many other books on algorithms and data structures suffices for most parts of volumes 2 and 3. The specific prerequisites for volumes 2 and 3 are listed in the prefaces to these volumes. In all three volumes we present and analyse many important efficient algorithms for the fundamental computa­ tional problems in the area. Efficiency is measured by the running time on a realistic model of a computing machine which we present in chapter I. Most of the algorithms presented are very recent inven­ tions; after all computer science is a very young field. There are hardly any theorems in this book which are older than 20 years and at least fifty percent of the material is younger than 10 years.

Author(s): Kurt Mehlhorn
Series: EATCS Monographs on Theoretical Computer Science 1
Publisher: Springer
Year: 1984

Language: English
Pages: 336
Tags: Computation by Abstract Devices; Data Structures; Algorithm Analysis and Problem Complexity

Front Matter....Pages I-XIV
Foundations....Pages 1-39
Sorting....Pages 40-101
Sets....Pages 102-316
Algorithmic Paradigms....Pages 317-324
Back Matter....Pages 325-336