Surveys in Combinatorics 2017. Este artículo no está disponible.
Idioma: inglés
Editorial: Cambridge Univ Pr, 2017
Serie: Libro 367 de 387 - London Mathematical Society Lecture Notes
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442 pages. 9.50x6.50x1.00 inches. In Stock. This item is printed on demand.
N° de ref. del artículo __1108413137
- Título
- Surveys in Combinatorics 2017
- Autor
- Claesson, Anders (Editor)/ Dukes, Mark (Editor)/ Kitaev, Sergey (Editor)/ Manlove, David (Editor)/ Meeks, Kitty (Editor)
- Editorial
- Cambridge Univ Pr
- Año de publicación
- 2017
- Estado
- Brand New
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 1108413137
- ISBN 13
- 9781108413138
- Peso del artículo
- 0,67 kilogramos
- Serie
- Libro 367 de 387: London Mathematical Society Lecture Notes
This book includes nine articles representing a timely snapshot of the state of the art in the different areas of combinatorics.
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Acerca del autor
Anders Claesson is a Professor of Mathematics at the University of Iceland, Reykjavik. He is a well-established researcher whose main research interests are in enumerative combinatorics, with a focus on permutation patterns.
Mark Dukes is a Lecturer in Mathematics at University College Dublin and an Honorary Senior Lecturer at the University of Strathclyde. His research focuses on discrete and combinatorial mathematics, and their applications to complex systems.
Sergey Kitaev is a Reader in Combinatorics and the Director of Research in the Department of Computer and Information Sciences at the University of Strathclyde. He is the author of numerous publications, including Patterns in Permutations and Words (2011) and Words and Graphs (2015). His research focuses on combinatorics and graph theory.
David Manlove is a Senior Lecturer in Computing Science at the University of Glasgow. He is interested in designing algorithms for problems involving matching agents to commodities (for example, junior doctors to hospitals, kidney patients to donors) in the presence of ordinal preferences or cardinal utilities. His publications include Algorithmics of Matching under Preferences (2013). He has collaborated with the National Health Service and is Vice-Chair of the ENCKEP COST Action (European Network for Collaboration on Kidney Exchange Programmes).
Kitty Meeks is a Research Fellow in Computing Science at the University of Glasgow, where she currently holds a Royal Society of Edinburgh Personal Research Fellowship, funded by the Scottish Government. Her research focuses on the computational complexity of combinatorial problems, with a particular emphasis on parameterised complexity and the application of graph-theoretic methods to real-world problems.
Mark Dukes is a Lecturer in Mathematics at University College Dublin and an Honorary Senior Lecturer at the University of Strathclyde. His research focuses on discrete and combinatorial mathematics, and their applications to complex systems.
Sergey Kitaev is a Reader in Combinatorics and the Director of Research in the Department of Computer and Information Sciences at the University of Strathclyde. He is the author of numerous publications, including Patterns in Permutations and Words (2011) and Words and Graphs (2015). His research focuses on combinatorics and graph theory.
David Manlove is a Senior Lecturer in Computing Science at the University of Glasgow. He is interested in designing algorithms for problems involving matching agents to commodities (for example, junior doctors to hospitals, kidney patients to donors) in the presence of ordinal preferences or cardinal utilities. His publications include Algorithmics of Matching under Preferences (2013). He has collaborated with the National Health Service and is Vice-Chair of the ENCKEP COST Action (European Network for Collaboration on Kidney Exchange Programmes).
Kitty Meeks is a Research Fellow in Computing Science at the University of Glasgow, where she currently holds a Royal Society of Edinburgh Personal Research Fellowship, funded by the Scottish Government. Her research focuses on the computational complexity of combinatorial problems, with a particular emphasis on parameterised complexity and the application of graph-theoretic methods to real-world problems.
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