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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press (edition 1), 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Hardcover. Condition: new. Hardcover. 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. 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 authors played a leading role. The text emphasizes intuition, while also giving complete proofs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press 2016-09-25, 2016
ISBN 10: 1107160154ISBN 13: 9781107160156
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ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press CUP, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2024
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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ISBN 10: 1107160154ISBN 13: 9781107160156
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ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, Cambridge, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Hardcover. Condition: new. Hardcover. 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. 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 authors played a leading role. The text emphasizes intuition, while also giving complete proofs. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
Seller: Byrd Books, Austin, TX, U.S.A.
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Consolidating over sixty years of research, this authoritative account of probability on networks is indispensable to anyone in the field.
Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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Published by Cambridge University Press, 2017
ISBN 10: 1107160154ISBN 13: 9781107160156
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