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2016, ISBN: 9783319257280
[ED: Hardcover], [PU: Springer / Springer, Berlin], This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and … Más…
2015, ISBN: 9783319257280
[PU: Springer International Publishing], Gepflegter, sauberer Zustand. Außen: Buchschnitt verkürzt. 26180444/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 1st ed. 2016, B… Más…
2015
ISBN: 9783319257280
[PU: Springer International Publishing], Gepflegter, sauberer Zustand. Außen: Buchschnitt verkürzt. 26180444/12, DE, [SC: 3.00], gebraucht; sehr gut, gewerbliches Angebot, 1st ed. 2016, P… Más…
2015, ISBN: 9783319257280
[PU: Springer International Publishing], Gepflegter, sauberer Zustand. Außen: Buchschnitt verkürzt. 26180444/12, DE, [SC: 0.00], gebraucht; sehr gut, gewerbliches Angebot, 1st ed. 2016, P… Más…
ISBN: 9783319257280
by R.M.R. Lewis, PRINT ISBN: 9783319257280 E-TEXT ISBN: 9783319257303 Springer Nature eBook Other pricing structure might be available at vitalsource.com., Springer
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Detalles del libro - A Guide To Graph Colouring: Algorithms And Applications
EAN (ISBN-13): 9783319257280
ISBN (ISBN-10): 3319257285
Tapa dura
Año de publicación: 2015
Editorial: Springer International Publishing Core >2 >T
Libro en la base de datos desde 2015-10-23T02:39:40+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-04-10T21:03:29+02:00 (Madrid)
ISBN/EAN: 9783319257280
ISBN - escritura alterna:
3-319-25728-5, 978-3-319-25728-0
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: lewis
Título del libro: colouring, colour guide, graph algorithms
Datos del la editorial
Autor: R.M.R. Lewis
Título: A Guide to Graph Colouring - Algorithms and Applications
Editorial: Springer; Springer International Publishing
253 Páginas
Año de publicación: 2015-11-04
Cham; CH
Impreso en
Peso: 5,266 kg
Idioma: Inglés
117,69 € (DE)
120,99 € (AT)
130,00 CHF (CH)
Not available, publisher indicates OP
BB; Book; Hardcover, Softcover / Informatik, EDV/Informatik; Algorithmen und Datenstrukturen; Verstehen; Combinatorial Optimization; Graph Theory; Heuristics; Metaheuristics; Operations Research; Optimization; Scheduling; algorithm analysis and problem complexity; B; Algorithm Analysis and Problem Complexity; Optimization; Operations Research/Decision Theory; Mathematical and Computational Engineering; Algorithms; Optimization; Operations Research and Decision Theory; Mathematical and Computational Engineering Applications; Computer Science; Optimierung; Unternehmensforschung; Management: Entscheidungstheorie; Mathematik für Ingenieure; EA; BC; BB
This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring arbitrary graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why.
The introductory chapters explain graph colouring, and bounds and constructive algorithms. The author then shows how advanced, modern techniques can be applied to classic real-world operational research problems such as seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by a website with an online suite of downloadable code.
The book will be of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.
Introduction to Graph Colouring.- Bounds and Constructive Algorithms.- Advanced Techniques for Graph Colouring.- Algorithm Case Studies.- Applications and Extensions.- Designing Seating Plans.- Designing Sports Leagues.- Designing University Timetables.- App. A, Computing Resources.- References.- Index.
“The book gives a comprehensive description and handling on arguably one of the most important notions of combinatorics—graph coloring. … The book is nicely written, and carries a big pile of information valuable for both users and researchers in the field.” (András Sándor Pluhár, Mathematical Reviews, February, 2017)
“This well-written book will serve as a utilitarian guide to graph coloring and its practical applications. It includes many definitions, theorems, proofs, algorithms, and pointers for further reading. The book will be helpful for teaching courses on graph coloring to students of mathematics and computer science. I strongly recommend it for the intended audience.” (S. V. Nagaraj, Computing Reviews, computingreviews.com, June, 2016)
“The book is a comprehensive guide to graph colouring algorithms. … The book is a nice textbook for both undergraduate and graduate students in the areas of operations research and theoretical computer science. … Finally, it is a good source of knowledge for practitioners.” (Marcin Anholcer, zbMATH 1330.05002, 2016)
This book treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring arbitrary graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why.
The introductory chapters explain graph colouring, and bounds and constructive algorithms. The author then shows how advanced, modern techniques can be applied to classic real-world operational research problems such as seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by a website with an online suite of downloadable code.
The book will be of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.
Supported by online suite of graph colouring algorithms, implemented in C++
Focuses on state-of-the-art algorithmic solutions to classic problems such as seating plans, sports leagues, and university timetables
Suitable for graduate courses in computer science, operations research, mathematics, and engineering
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