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Design and Analysis of Algorithms
A Contemporary Perspective

  • Authors:
  • Sandeep Sen, Indian Institute of Technology, Delhi
  • Amit Kumar, Indian Institute of Technology, Delhi
  • Date Published: No date available
  • availability: Available in limited markets only
  • format: Paperback
  • isbn: 9781108721998


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About the Authors
  • 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.

    • Discusses important concepts including graph algorithms, parallel algorithms and approximation algorithms that are explained in detail
    • Emphasizes alternate and realistic computational frameworks including parallel, memory hierarchy and streaming
    • Covers new models of computation including string matching, streaming algorithms and geometric algorithms
    • Real-life applications and numerical problems are spread throughout the text for the benefit of the reader
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    Product details

    • format: Paperback
    • isbn: 9781108721998
    • dimensions: 247 x 187 mm
    • availability: Available in limited markets only
  • Table of Contents

    1. Model and analysis
    2. Basics of probability and tail inequalities
    3. Warm up problems
    4. Optimization I: brute force and greedy strategy
    5. Optimization II: dynamic programming
    6. Searching
    7. Multidimensional searching and geometric algorithms
    8. String matching and finger printing
    9. Fast Fourier transform and applications
    10. Graph algorithms
    11. NP completeness and approximation algorithms
    12. Dimensionality reduction
    13. Parallel algorithms
    14. Memory hierarchy and caching
    15. Streaming data model
    Appendix A. Recurrences and generating functions

  • Authors

    Sandeep Sen, Indian Institute of Technology, Delhi
    Sandeep Sen is Professor in the department of Computer Science and Engineering, Indian Institute of Technology (IIT), Delhi. He received his Ph.D. from Duke University, North Carolina, and M.S. from University of California, Santa Barabara. Prior to joining IIT Delhi, he served as a post-doctoral researcher at Bell Laboratories, Murray Hill, New Jersey and at Duke University, North Carolina. He served as visiting researcher at many reputed institutes including Max-Planck-Institut für Informatik, Germany, IBM Research Lab, Microsoft Research Lab, University of Newcastle, Australia, University of North Carolina, Chapel Hill, University of Connecticut and Simon Fraser University, Vancouver. With more than twenty-five years of teaching experience, his areas of interest include randomized algorithms, computational geometry and graph algorithms.

    Amit Kumar, Indian Institute of Technology, Delhi
    Amit Kumar is Professor in the department of Computer Science and Engineering, Indian Institute of Technology (IIT) Delhi. He received his Ph.D. from Cornell University, New York. Prior to joining IIT Delhi, he worked as a member of technical staff at Bell Laboratories, New Jersey and has held several visiting professor positions at Microsoft Research India, IBM Research India and Max-Planck-Institut für Informatik, Germany. He has published over eighty research articles and holds five patents. His areas of interest include design of algorithms, approximation algorithms, computer networks and network management and routing.

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