大葉大學圖書館 |

An introduction to the analysis of algorithms[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	518
書名/作者:	An introduction to the analysis of algorithms/ Michael Soltys.
作者:	Soltys, Michael,
出版者:	Singapore : : World Scientific,, c2018.
面頁冊數:	1 online resource (329 p.) : : ill.
標題:	Algorithms
標題:	Electronic books.
ISBN:	9789813235915
書目註:	Includes bibliographical references and index.
摘要、提要註:	"A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While succinct, this edition is mathematically rigorous, covering the foundations for both computer scientists and mathematicians with interest in the algorithmic foundations of Computer Science. Besides expositions on traditional algorithms such as Greedy, Dynamic Programming and Divide & Conquer, the book explores two classes of algorithms that are often overlooked in introductory textbooks: Randomised and Online algorithms — with emphasis placed on the algorithm itself. The book also covers algorithms in Linear Algebra, and the foundations of Computation.The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to the emergence of cryptography, while the latter are essential in numerous fields as diverse as operating systems and stock market predictions.While being relatively short to ensure the essentiality of content, a strong focus has been placed on self-containment, introducing the idea of pre/post-conditions and loop invariants to readers of all backgrounds, as well as all the necessary mathematical foundations. The programming exercises in Python will be available on the web (see http://www.msoltys.com/book for the companion web site)."--Publisher's website.
電子資源:	https://www.worldscientific.com/worldscibooks/10.1142/10875#t=toc

An introduction to the analysis of algorithms[electronic resource] /
Soltys, Michael,1971-

An introduction to the analysis of algorithms[electronic resource] /Michael Soltys. - 3rd ed. - Singapore :World Scientific,c2018. - 1 online resource (329 p.) :ill.

Includes bibliographical references and index.

"A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While succinct, this edition is mathematically rigorous, covering the foundations for both computer scientists and mathematicians with interest in the algorithmic foundations of Computer Science. Besides expositions on traditional algorithms such as Greedy, Dynamic Programming and Divide & Conquer, the book explores two classes of algorithms that are often overlooked in introductory textbooks: Randomised and Online algorithms — with emphasis placed on the algorithm itself. The book also covers algorithms in Linear Algebra, and the foundations of Computation.The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to the emergence of cryptography, while the latter are essential in numerous fields as diverse as operating systems and stock market predictions.While being relatively short to ensure the essentiality of content, a strong focus has been placed on self-containment, introducing the idea of pre/post-conditions and loop invariants to readers of all backgrounds, as well as all the necessary mathematical foundations. The programming exercises in Python will be available on the web (see http://www.msoltys.com/book for the companion web site)."--Publisher's website.

Electronic reproduction.
Singapore :
World Scientific,
[2018]

Mode of access: World Wide Web.

ISBN: 9789813235915Subjects--Topical Terms:

135237
Algorithms

LC Class. No.: QA9.58 / .S63 2018

Dewey Class. No.: 518

An introduction to the analysis of algorithms[electronic resource] /
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300 $a 1 online resource (329 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a "A successor to the first and second editions, this updated and revised book is a leading companion guide for students and engineers alike, specifically software engineers who design algorithms. While succinct, this edition is mathematically rigorous, covering the foundations for both computer scientists and mathematicians with interest in the algorithmic foundations of Computer Science. Besides expositions on traditional algorithms such as Greedy, Dynamic Programming and Divide & Conquer, the book explores two classes of algorithms that are often overlooked in introductory textbooks: Randomised and Online algorithms — with emphasis placed on the algorithm itself. The book also covers algorithms in Linear Algebra, and the foundations of Computation.The coverage of Randomized and Online algorithms is timely: the former have become ubiquitous due to the emergence of cryptography, while the latter are essential in numerous fields as diverse as operating systems and stock market predictions.While being relatively short to ensure the essentiality of content, a strong focus has been placed on self-containment, introducing the idea of pre/post-conditions and loop invariants to readers of all backgrounds, as well as all the necessary mathematical foundations. The programming exercises in Python will be available on the web (see http://www.msoltys.com/book for the companion web site)."--Publisher's website.
533 $a Electronic reproduction. $b Singapore : $c World Scientific, $d [2018]
538 $a Mode of access: World Wide Web.
588 $a Description based on online resource; title from PDF title page (viewed February 8, 2018)
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