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Graph Separators, with Applications: Frontiers in Computer Science

Autor Arnold L. Rosenberg, Lenwood S. Heath
en Limba Engleză Paperback – 26 apr 2013
Graph Separators with Applications is devoted to techniques for obtaining upper and lower bounds on the sizes of graph separators - upper bounds being obtained via decomposition algorithms. The book surveys the main approaches to obtaining good graph separations, while the main focus of the book is on techniques for deriving lower bounds on the sizes of graph separators. This asymmetry in focus reflects our perception that the work on upper bounds, or algorithms, for graph separation is much better represented in the standard theory literature than is the work on lower bounds, which we perceive as being much more scattered throughout the literature on application areas. Given the multitude of notions of graph separator that have been developed and studied over the past (roughly) three decades, there is a need for a central, theory-oriented repository for the mass of results. The need is absolutely critical in the area of lower-bound techniques for graph separators, since these techniques have virtually never appeared in articles having the word `separator' or any of its near-synonyms in the title. Graph Separators with Applications fills this need.
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Specificații

ISBN-13: 9781475787641
ISBN-10: 1475787642
Pagini: 272
Ilustrații: XII, 257 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:2002
Editura: Springer Us
Colecția Springer
Seria Frontiers in Computer Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

A Technical Introduction.- Applications of Graph Separators.- Upper-Bound Techniques.- Lower-Bound Techniques.

Notă biografică

Arnold L. Rosenberg is a distinguished university professor emeritus at the University of Massachusetts, Amherst. He earlier held full-time positions as a professor at Duke and as a Research Staff member at the IBM Watson Research Center. He has held research positions at Northeastern University and Colorado State University. He has been a visiting professor at the University of Toronto, a Lady Davis visiting professor at the Technion (Israel Inst. of Technology), and a Fulbright Senior Research Scholar at the University of Paris-South. In 1996, he was elected a fellow of the ACM for his work on graph-theoretic models of computation, with a focus on theoretical studies of parallel algorithms and architectures, VLSI design and layout, and data structures. In 1997, he was elected a fellow of the IEEE for his fundamental contributions to theoretical aspects of computer science and engineering.
Lenwood S. Heath is a professor in the Department of Computer Science at Virginia Tech. His research interests include theoretical computer science, algorithms, graph theory, computational biology and bioinformatics, computational genomics, complex networks, and computational epidemiology. He completed a Ph.D. in computer science (1985) at the University of North Carolina, Chapel Hill, an M.S. in mathematics (1976) at the University of Chicago, and a B.S. in mathematics (1975) at the University of North Carolina, Chapel Hill. Before joining the faculty at Virginia Tech in 1987, he was an instructor of applied mathematics and member of the Laboratory of Computer Science at MIT. He is a member of SIAM, a member of the ACM, and a lifetime senior member of the IEEE. He is a managing editor of the Journal of Interconnection Networks