Над 4 милиона заглавия на английски и други езици! Открийте новата си история още днес! Безплатна доставка за поръчки над 69.99€

Виж статуса на поръчката

Свържете се с нас

Guide to Graph Colouring

Name: Guide to Graph Colouring
Brand: Springer, Berlin
SKU: 9783030810566
Price: 64.53 EUR
Availability: InStock

Algorithms and Applications

Автор: R. M. R. Lewis

Език:

Корици: С меки корици

Издател: Springer, Berlin

Наличност: Външен склад в ограничено количество

Изпращаме след 11-15 дни

64.53 € 126.22 лв

This textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical...

Информация за книгата

Автор

R. M. R. Lewis

Език

Английски език

Корици

Книга - С меки корици

Издадена

2022

страници

304

EAN

9783030810566

Enbook ID

41551356

Издател

Springer, Berlin

Теглоt

487

Размери

157 x 18 x 18

Пълно описание

This textbook 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 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, complexity theory, bounds and constructive algorithms. The author then shows how advanced, graph colouring techniques can be applied to classic real-world operational research problems such as designing seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by an online suite of downloadable code. The book is 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.