Design and analysis of algorithms a contemporary perspective/ Sandeep Sen

By:

Sen, Sandeep [author.]

Contributor(s):

Kumar, Amit [author.]

Material type: Text

TextPublication details: United Kingdom : Cambridge University Press , 2019.Description: xxvi, 367 pages : figures ; 25 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781108721998

Subject(s):

Algorithms

DDC classification:

005.1 Se551d

LOC classification:

QA9.58 .S454

Summary: 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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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	Main Library	Engineering Section	ENG 005.1 Se551d 2019 (Browse shelf(Opens below))	1-1	Available		023436

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Includes index,

Includes bibliography pages (351-362).

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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