Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Añadir al carritoHardcover. Condición: Good. No dustjacket as issued. Visible indent about 1 inch long to bottom left of front cover, otherwise light shelf wear. Binding tight. All pages intact and free of marks.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Añadir al carritoHardcover. Condición: new. Hardcover. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models. Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master's-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Idioma: Inglés
Publicado por Cambridge University Press CUP, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
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Añadir al carritoCondición: New. 1st edition niversity Press NO-PA16APR2015-KAP.
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 375 pages. 10.50x7.50x0.50 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 375 pages. 10.50x7.50x0.50 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: Majestic Books, Hounslow, Reino Unido
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Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 95,76
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Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: CitiRetail, Stevenage, Reino Unido
EUR 74,61
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Añadir al carritoHardcover. Condición: new. Hardcover. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models. Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master's-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master s-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of .
Idioma: Inglés
Publicado por Cambridge University Press, Cambridge, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 107,00
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. This rigorous introduction to network science presents random graphs as models for real-world networks. Such networks have distinctive empirical properties and a wealth of new models have emerged to capture them. Classroom tested for over ten years, this text places recent advances in a unified framework to enable systematic study. Designed for a master's-level course, where students may only have a basic background in probability, the text covers such important preliminaries as convergence of random variables, probabilistic bounds, coupling, martingales, and branching processes. Building on this base - and motivated by many examples of real-world networks, including the Internet, collaboration networks, and the World Wide Web - it focuses on several important models for complex networks and investigates key properties, such as the connectivity of nodes. Numerous exercises allow students to develop intuition and experience in working with the models. Network science is one of the fastest growing areas in science and business. This classroom-tested, self-contained book is designed for master's-level courses and provides a rigorous treatment of random graph models for networks, featuring many examples of real-world networks for motivation and numerous exercises to build intuition and experience. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Cambridge University Press, 2016
ISBN 10: 110717287X ISBN 13: 9781107172876
Librería: preigu, Osnabrück, Alemania
EUR 76,70
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Random Graphs and Complex Networks | Remco Van Der Hofstad | Buch | Gebunden | Englisch | 2016 | Cambridge University Press | EAN 9781107172876 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.