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Design and analysis of algorithms = ...
~
Sen, Sandeep.
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Design and analysis of algorithms = a contemporary perspective /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Design and analysis of algorithms/ Sandeep Sen, Amit Kumar.
Reminder of title:
a contemporary perspective /
Author:
Sen, Sandeep.
other author:
Kumar, Amit.
Published:
Cambridge :Cambridge University Press, : 2019.,
Description:
xxvi, 367 p. :ill., digital ;24 cm.
Notes:
Title from publisher's bibliographic system (viewed on 02 May 2019).
Subject:
Algorithms. -
Online resource:
https://doi.org/10.1017/9781108654937
ISBN:
9781108654937
Design and analysis of algorithms = a contemporary perspective /
Sen, Sandeep.
Design and analysis of algorithms
a contemporary perspective /[electronic resource] :Sandeep Sen, Amit Kumar. - Cambridge :Cambridge University Press,2019. - xxvi, 367 p. :ill., digital ;24 cm.
Title from publisher's bibliographic system (viewed on 02 May 2019).
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.
ISBN: 9781108654937Subjects--Topical Terms:
536374
Algorithms.
LC Class. No.: QA9.58 / .S454 2019
Dewey Class. No.: 005.1
Design and analysis of algorithms = a contemporary perspective /
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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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https://doi.org/10.1017/9781108654937
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EB QA9.58 .S454 2019
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