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Topics in algorithmic graph theory /
~
Beineke, Lowell W.,
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Topics in algorithmic graph theory /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Topics in algorithmic graph theory // edited by Lowell W. Beineke, Martin Charles Golumbic, Robin J. Wilson.
其他作者:
Beineke, Lowell W.,
出版者:
Cambridge, United Kingdom ;Cambridge University Press, : 2021.,
面頁冊數:
xvi, 349 p. :ill. ;24 cm.
標題:
Graph algorithms. -
ISBN:
9781108492607
Topics in algorithmic graph theory /
Topics in algorithmic graph theory /
edited by Lowell W. Beineke, Martin Charles Golumbic, Robin J. Wilson. - Cambridge, United Kingdom ;Cambridge University Press,2021. - xvi, 349 p. :ill. ;24 cm. - Encyclopedia of mathematics and its applications ;178. - Encyclopedia of mathematics and its applications ;v. 178..
Includes bibliographical references and index.
"Algorithmic graph theory has been expanding at an extremely rapid ratesince the middle of the twentieth century, in parallel with the growth ofcomputer science and the accompanying utilization of computers, whereefficient algorithms have been a prime goal. This book presents material ondevelopments on graph algorithms and related concepts that will be of valueto both mathematicians and computer scientists, at a level suitable forgraduate students, researchers and instructors. The fifteen expositorychapters, written by acknowledged international experts on their subjects,focus on the development and application of algorithms to solve particularproblems. All chapters have been carefully edited to enhance readability andto standardize the chapter structure as well as the terminology andnotation. The editors provide basic background material in graph theory, anda chapter written by the book's Academic Consultant, Martin Charles Golumbic(University of Haifa, Israel), provides background material on algorithms as connected with graph theory"--
ISBN: 9781108492607GBP89.99
LCCN: 2020053205Subjects--Topical Terms:
596326
Graph algorithms.
LC Class. No.: QA166.245 / .B45 2021
Dewey Class. No.: 511/.5
Topics in algorithmic graph theory /
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