國立虎尾科技大學 |

Design and analysis of algorithms : = a contemporary perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Design and analysis of algorithms :/ Sandeep Sen, Amit Kumar.
其他題名:	a contemporary perspective /
作者:	Sen, Sandeep,
其他作者:	Kumar, Amit,
面頁冊數:	1 online resource (xxvi, 367 pages) :digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 02 May 2019).
標題:	Algorithms. -
電子資源:	https://doi.org/10.1017/9781108654937
ISBN:	9781108654937 (ebook)

Design and analysis of algorithms : = a contemporary perspective /
Sen, Sandeep,

Design and analysis of algorithms :a contemporary perspective /Sandeep Sen, Amit Kumar. - 1 online resource (xxvi, 367 pages) :digital, PDF file(s).

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: 9781108654937 (ebook)Subjects--Topical Terms:

527865
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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520 $a 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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