Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521867282 ISBN 13: 9780521867283
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 101,10
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 145,23
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 280 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521867282 ISBN 13: 9780521867283
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 188,94
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. The first comprehensive theoretical account of mathematical models for random and repeated fragmentation and coagulation over time. Series Editor(s): Bollobas, B.; Fulton, W.; Katok, A.; Kirwan, F.; Sarnak, P.; Simon, B.; Totaro, B. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 290 pages, black & white illustrations. BIC Classification: PBK; PBT. Category: (P) Professional & Vocational. Dimension: 230 x 158 x 21. Weight in Grams: 530. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Cambridge University Press, 2006
ISBN 10: 0521867282 ISBN 13: 9780521867283
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fragmentation and coagulation are two natural phenomena that can be observed in many sciences and at a great variety of scales - from, for example, DNA fragmentation to formation of planets by accretion. This book, by the author of the acclaimed Lévy Processes, is the first comprehensive theoretical account of mathematical models for situations where either phenomenon occurs randomly and repeatedly as time passes. This self-contained treatment develops the models in a way that makes recent developments in the field accessible. Each chapter ends with a comments section in which important aspects not discussed in the main part of the text (often because the discussion would have been too technical and/or lengthy) are addressed and precise references are given. Written for readers with a solid background in probability, its careful exposition allows graduate students, as well as working mathematicians, to approach the material with confidence.