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ISBN 10: 1009260308 ISBN 13: 9781009260305
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ISBN 10: 1009260308 ISBN 13: 9781009260305
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Publicado por Cambridge University Press 3/9/2023, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Añadir al carritoPaperback or Softback. Condición: New. Random Graphs and Networks: A First Course 0.84. Book.
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Publicado por Cambridge University Press, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Publicado por Cambridge University Press Mär 2023, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - 'Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level'--.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Publicado por Cambridge University Press, 2023
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Añadir al carritoCondición: New. Über den AutorAlan Frieze is Professor in the Department of Mathematical Sciences at Carnegie Mellon University. He has authored almost 400 publications in top journals and was a plenary speaker at the 2014 International Congress of.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
Idioma: Inglés
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Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Añadir al carritoPaperback. Condición: new. Paperback. Networks surround us, from social networks to proteinprotein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs component structure, matchings and Hamilton cycles, connectivity and chromatic number before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading. Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
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Publicado por Cambridge University Press, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
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ISBN 10: 1009260286 ISBN 13: 9781009260282
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Publicado por Cambridge University Press, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
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Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Añadir al carritoPaperback. Condición: new. Paperback. Networks surround us, from social networks to proteinprotein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs component structure, matchings and Hamilton cycles, connectivity and chromatic number before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading. Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
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Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
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Añadir al carritoHardcover. Condición: new. Hardcover. Networks surround us, from social networks to proteinprotein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs component structure, matchings and Hamilton cycles, connectivity and chromatic number before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading. Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
Idioma: Inglés
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Añadir al carritoHardcover. Condición: new. Hardcover. Networks surround us, from social networks to proteinprotein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs component structure, matchings and Hamilton cycles, connectivity and chromatic number before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading. Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Publicado por Cambridge University Press, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
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Añadir al carritoPaperback. Condición: Brand New. 232 pages. 9.49x6.54x0.43 inches. In Stock. This item is printed on demand.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
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Añadir al carritoHardcover. Condición: Brand New. 232 pages. 9.92x7.01x0.79 inches. In Stock. This item is printed on demand.
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ISBN 10: 1009260286 ISBN 13: 9781009260282
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Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 1009260308 ISBN 13: 9781009260305
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. Paperback. Networks surround us, from social networks to proteinprotein interaction networks within the cells of our bodies. The theory of random graphs provides a necessary framework for understanding their structure and development. This text provides an accessible introduction to this rapidly expanding subject. It covers all the basic features of random graphs component structure, matchings and Hamilton cycles, connectivity and chromatic number before discussing models of real-world networks, including intersection graphs, preferential attachment graphs and small-world models. Based on the authors' own teaching experience, it can be used as a textbook for a one-semester course on random graphs and networks at advanced undergraduate or graduate level. The text includes numerous exercises, with a particular focus on developing students' skills in asymptotic analysis. More challenging problems are accompanied by hints or suggestions for further reading. Based on the authors' own teaching experience, this text introduces random graphs and networks, covering all the basic features before discussing the growth and structure of real-world networks. It can be used as a textbook for a one-semester course at advanced undergraduate or graduate level. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, 2023
ISBN 10: 1009260286 ISBN 13: 9781009260282
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 105,28
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorAlan Frieze is Professor in the Department of Mathematical Sciences at Carnegie Mellon University. He has authored almost 400 publications in top journals and was a plenary speaker at the 2014 International Congress of.