Design and Analysis of Algorithms
eBook - PDF

Design and Analysis of Algorithms

A Contemporary Perspective

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Design and Analysis of Algorithms

A Contemporary Perspective

About this book

The text covers important algorithm design techniques, such as greedy algorithms, dynamic programming, and divide-and-conquer, and gives applications to contemporary problems. Techniques including Fast Fourier transform, KMP algorithm for string matching, CYK algorithm for context free parsing and gradient descent for convex function minimization are discussed in detail. The book's emphasis is on computational models and their effect on algorithm design. It gives insights into algorithm design techniques in parallel, streaming and memory hierarchy computational models. The book also emphasizes the role of randomization in algorithm design, and gives numerous applications ranging from data-structures such as skip-lists to dimensionality reduction methods.

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Yes, you can access Design and Analysis of Algorithms by Sandeep Sen,Amit Kumar in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Design and Analysis of Algorithms
  3. Title
  4. Copyright
  5. Dedication
  6. Content
  7. Figures
  8. Tables
  9. Preface
  10. Acknowledgments
  11. CHAPTER 1 Model and Analysis
  12. CHAPTER 2 Basics of Probability and Tail Inequalities
  13. CHAPTER 3 Warm-up Problems
  14. CHAPTER 4 Optimization I: Brute Force and Greedy Strategy
  15. CHAPTER 5 Optimization II: Dynamic Programming
  16. CHAPTER 6 Searching
  17. CHAPTER 7 Multidimensional Searching and Geometric Algorithms
  18. CHAPTER 8 String Matching and Finger Printing
  19. CHAPTER 9 Fast Fourier Transform and Applications
  20. CHAPTER 10 Graph Algorithms
  21. CHAPTER 11 Maximum Flow and Applications
  22. CHAPTER 12 NP Completeness and Approximation Algorithms
  23. CHAPTER 13 Dimensionality Reduction
  24. CHAPTER 14 Parallel Algorithms
  25. CHAPTER 15 Memory Hierarchy and Caching
  26. CHAPTER 16 Streaming Data Model
  27. APPENDIX A Recurrences and Generating Functions
  28. Bibliography
  29. Index