Contents:
1. Introduction to Algorithms.
2. Basics of Algorithms Writing.
3. Basics of Algorithms Analysis.
4. Mathematical Analysis of Recursive Algorithms.
5. Data Structures - I
6. Data Structures - II
7. Brute Force Approaches.
8. Divide and Conquer Approach.
9. Decrease and Conquer Approach.
10. Time Space Tradeoffs.
11. Greedy Algorithms.
12. Transform and Conquer Approach.
13. Dynamic Programming.
14. Backtracking.
15. Branch and Bound Technique.
16. String Algorithms.
17. Iterative Improvement and Linear Programming.
18. Basics of Computational Complexity.
19. Randomized Algorithms.
20. Approximation Algorithms.
21. Parallel Algorithms.

Includes:
1. Appendix A
2. Appendix B
3. Appendix C
4. Appendix D
5. Appendix E
6. Bibliography.
7. Index.