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＜電子ブック＞
Research Trends in Graph Theory and Applications / edited by Daniela Ferrero, Leslie Hogben, Sandra R. Kingan, Gretchen L. Matthews
(Association for Women in Mathematics Series. ISSN:23645741 ; 25)

版	1st ed. 2021.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2021
本文言語	英語
大きさ	XVIII, 135 p. 47 illus : online resource
著者標目	Ferrero, Daniela editor Hogben, Leslie editor Kingan, Sandra R editor Matthews, Gretchen L editor SpringerLink (Online service)
件　名	LCSH:Graph theory LCSH:Computer networks  FREE:Graph Theory FREE:Computer Communication Networks
一般注記	Finding Long Cycles in Balanced Tripartite Graphs: A First Step (L. Lesniak) -- Product Thottling (L.Hogben) -- Analysis of Termatiko Sets in Measurement Matrices (L. Matthews) -- The Threshold Dimension and Threshold Strong Dimension of a Graph: A Survey (O. Oellermann) -- Symmetry Parameters for Mycielskian Graphs (D. Boutin) -- Reconfiguration Graphs for Dominating Sets (R. Haas) The Workshop for Women in Graph Theory and Applications was held at the Institute for Mathematics and Its Applications (University of Minnesota, Minneapolis) on August 19-23, 2019. During this five-day workshop, 42 participants performed collaborative research, in six teams, each focused on open problems in different areas of graph theory and its applications. The research work of each team was led by two experts in the corresponding area, who prior to the workshop, carefully selected relevant and meaningful open problems that would yield high-quality research and results of strong impact. As a result, all six teams have made significant contributions to several open problems in their respective areas. The workshop led to the creation of the Women in Graph Theory and Applications Research Network, which provided the framework to continue collaborating and to produce this volume. This book contains six chapters, each of them on one of the different areas ofresearch at the Workshop for Women in Graph Theory and Applications, and written by participants of each team HTTP:URL=https://doi.org/10.1007/978-3-030-77983-2

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