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Full Description
For upper-level undergraduate and graduate courses in algorithms. Filling the void left by other algorithms books, Algorithms and Data Structures provides an approach that emphasizes design techniques. The text includes application of algorithms, examples, end-of-section exercises, end-of-chapter exercises, hints and solutions to selected exercises, figures and notes to help the reader master the design and analysis of algorithms.
Contents
1. Mathematical Prerequisites. 2. Data Structures. 3. Searching Techniques. 4. Divide-and-Conquer. 5. Sorting and Selection. 6. Greedy Algorithms. 7. Dynamic Programming. 8. Text Searching. 9. Computational Algebra. 10. P and NP. 11. Coping with NP-Completeness. 12. Parallel Algorithms. References. Solutions to Selected Exercises. Index.