Advanced Data Structures

Advanced Data Structures

by Peter Brass
ISBN-10:
1108735517
ISBN-13:
9781108735513
Pub. Date:
05/16/2019
Publisher:
Cambridge University Press
ISBN-10:
1108735517
ISBN-13:
9781108735513
Pub. Date:
05/16/2019
Publisher:
Cambridge University Press
Advanced Data Structures

Advanced Data Structures

by Peter Brass
$65.99
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Overview

Advanced Data Structures presents a comprehensive look at the ideas, analysis, and implementation details of data structures as a specialized topic in applied algorithms. Data structures are how data is stored within a computer, and how one can go about searching for data within. This text examines efficient ways to search and update sets of numbers, intervals, or strings by various data structures, such as search trees, structures for sets of intervals or piece-wise constant functions, orthogonal range search structures, heaps, union-find structures, dynamization and persistence of structures, structures for strings, and hash tables. This is the first volume to show data structures as a crucial algorithmic topic, rather than relegating them as trivial material used to illustrate object-oriented programming methodology, filling a void in the ever-increasing computer science market. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text. topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

Product Details

ISBN-13: 9781108735513
Publisher: Cambridge University Press
Publication date: 05/16/2019
Pages: 472
Product dimensions: 5.98(w) x 9.06(h) x 0.94(d)

About the Author

Peter Brass received a Ph.D. in mathematics at the Technical University of Braunschweig, Germany. He is an associate professor at City College, City University of New York in the Department of Computer Science and a former Heisenberg Research Fellow at Freie Universität Berlin.

Table of Contents

1. Elementary structures; 2. Search types; 3. Balanced search trees; 4. Tree structures for sets of intervals; 5. Heaps; 6. Union-find and related structures; 7. Data structure transformations; 8. Data structures for strings; 9. Hash tables; 10. Appendix.
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