Design and Analysis of Algorithms: A Contemporary Perspective

Sen, Sandeep/ Kumar, Amit

ISBN 10: 1108496822 / ISBN 13: 9781108496827

Published by Cambridge Univ Pr, 2019

About this Item

367 pages. 10.00x7.50x1.00 inches. In Stock. This item is printed on demand.

Seller Inventory # __1108496822

Bibliographic Details

• Title: Design and Analysis of Algorithms: A Contemporary Perspective
• Publisher: Cambridge Univ Pr
• Publication Date: 2019
• Language: English
• ISBN 10: 1108496822
• ISBN 13: 9781108496827
• Binding: Hardcover
• Condition: Brand New

About this title

Synopsis

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.

About the Authors

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 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.