Overview
- Focuses on permutation, alternating sign and tournament matrices
- Includes an introduction to boundary value problems and related techniques on finite networks
- Discusses applications of the group inverse of the Laplacian matrix
Part of the book series: Advanced Courses in Mathematics - CRM Barcelona (ACMBIRK)
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Table of contents (5 chapters)
Keywords
About this book
Reviews
“A very excellent treatment of the subject for mathematicians interested in the intersection between matrix theory and combinatorics. … it is appropriate for graduate students and others interested in the latest developments in this rich and diverse field.” (MAA Reviews, March 1, 2020)
Authors, Editors and Affiliations
About the editors
Richard A. Brualdi is an Emeritus Professor at the University of Wisconsin in Madison, WI, USA.
Pauline van den Driessche is an Emeritus Professor at the University of Victoria, Canada.
Dragan Stevanović is a Full Research Professor at the Serbian Academy of Sciences and Arts in Belgrade, Serbia.
Stephen Kirkland is a Professor at the University of Manitoba in Winnipeg, Canada.
Ángeles Carmona is an Associate Professor at the Universitat Politècnica de Catalunya in Barcelona, Spain.
Bibliographic Information
Book Title: Combinatorial Matrix Theory
Authors: Richard A. Brualdi, Ángeles Carmona, P. van den Driessche, Stephen Kirkland, Dragan Stevanović
Editors: Andrés M. Encinas, Margarida Mitjana
Series Title: Advanced Courses in Mathematics - CRM Barcelona
DOI: https://doi.org/10.1007/978-3-319-70953-6
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Softcover ISBN: 978-3-319-70952-9Published: 13 April 2018
eBook ISBN: 978-3-319-70953-6Published: 31 March 2018
Series ISSN: 2297-0304
Series E-ISSN: 2297-0312
Edition Number: 1
Number of Pages: XI, 219
Topics: Combinatorics, Linear and Multilinear Algebras, Matrix Theory, Potential Theory, Ordinary Differential Equations, Probability Theory and Stochastic Processes