Sprache: Englisch
Verlag: Cambridge University Press, 2021
ISBN 10: 1108732720 ISBN 13: 9781108732727
Anbieter: PBShop.store US, Wood Dale, IL, USA
PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Cambridge University Press, 2021
ISBN 10: 1108732720 ISBN 13: 9781108732727
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 68,41
Anzahl: 11 verfügbar
In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 64,63
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 699 pages. 9.75x6.75x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2021
ISBN 10: 1108732720 ISBN 13: 9781108732727
Anbieter: moluna, Greven, Deutschland
EUR 66,47
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. This authoritative state-of-the-art account of probability on networks for graduate students and researchers in mathematics, statistics, computer science, and engineering, brings together sixty years of research, including many developments where the author.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 104,99
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 699 pages. 9.75x6.75x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press Jul 2021, 2021
ISBN 10: 1108732720 ISBN 13: 9781108732727
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike.