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Computer Algorithms/C++ (Second Edition)
Ellis Horowitz; Sartaj Sahni; Sanguthevar Rajasekaran
Price
675.00
ISBN
9789386235145
Language
English
Pages
852
Format
Paperback
Dimensions
180 x 240 mm
Year of Publishing
2019
Territorial Rights
Restricted
Imprint
Universities Press

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 the 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.

Ellis Horowitz, Professor of Computer Science and Electrical Engineering at the University of Southern California.

Sartaj Sahni,  Distinguished Professor and Chair of Computer and Information Sciences and Engineering at the University of Florida.

Sanguthevar Rajasekaran, UTC Chair Professor of Computer Science and Engineering at the University of Connecticut.

Preface
Index
1. Introduction
2. Elementary Data Structures
3. Divide-and-Conquer
4. The Greedy Method
5. Dynamic Programming
6. Basic Traversal and Search Techniques
7. Backtracking
8. Branch and Bound
9. Algebraic Problems
10. Lower Bound Theory
11. NP-Hard and NP-Complete Problems
12. Approximation Algorithms
13. PRAM Algorithms
14. Mesh Algorithms
15. Hypercube


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