Computer Algorithms/C++

Ellis Horowitz;Sartaj Sahni;Sanguthevar Rajasekaran

ISBN: 9788173716119 | Year: 2008 | Paperback | Pages: 808 | Language : English

Book Size: 158 x 240 mm | Territorial Rights: Restricted

Price: 895.00

About the Book

This is the thoroughly revised and updated edition of the text that helped establish computer algorithms as a discipline of computer science. Using the popular object-oriented language C++, the text incorporates the latest research and state-of-the-art applications, bringing this classic to the forefront of modern computer science education. A major strength of this text is its focus on design techniques rather than on individual algorithms.

The second edition of Computer Algorithms/C++ emphasizes:

  • Design techniques: Divide and conquer, the greedy method, dynamic programming, backtracking and branch and bound are illustrated with several examples. Each algorithm is completely analyzed.
  • Examples: A wide range of examples provides students with the actual implementation of correct design.
  • The latest research: A thorough treatment of probabilistic and parallel algorithms is included.
  • Full integration of randomized algorithms: Performance with nonrandomized algorithms is thoroughly compared.

Computer Algorithms/C++ is appropriate as a core text for upper- and graduate-level courses in algorithms.

Contributors (Author(s), Editor(s), Translator(s), Illustrator(s) etc.)

Ellis Horowitz is Professor of Computer Science and Electrical Engineering at the University of Southern California. Dr Horowitz is the author of ten books and numerous journal articles and refereed conference proceedings.

Sartaj Sahni is a Distinguished Professor and Chair of Computer and Information Sciences and Engineering at the University of Florida. Dr Sahni has published over 300 research papers and written 15 textbooks.

Sanguthevar Rajasekaran is the UTC Chair Professor of Computer Science and Engineering at the University of Connecticut. He has published over 150 articles in journals and conferences, coauthored two textbooks and co-edited four books.

Table of Content

Preface
Introduction
Elementary Data Structures
Divide-and-Conquer
The Greedy Method
Dynamic Programming
Basic Traversal and Search Techniques
Backtracking
Branch and Bound
Algebraic Problems
Lower Bound Theory
NP-Hard and NP-Complete Problems
Approximation Algorithms
Pram Algorithms
Mesh Algorithms
Hypercube Algorithms
Index

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