Sprache: Englisch
Verlag: Cambridge University Press, 2010
ISBN 10: 0521765420 ISBN 13: 9780521765428
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 64,03
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2010
ISBN 10: 0521765420 ISBN 13: 9780521765428
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. Introduction to stochastic processes and their applications, and methods for numerical simulation, for graduate students and researchers in physics. Num Pages: 204 pages, 17 b/w illus. 73 exercises. BIC Classification: PHS; PHU. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 255 x 181 x 15. Weight in Grams: 502. . 2010. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 106,37
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 208 pages. 10.00x7.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2010
ISBN 10: 0521765420 ISBN 13: 9780521765428
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook provides a solid understanding of stochastic processes and stochastic calculus in physics, without the need for measure theory. In avoiding measure theory, this textbook gives readers the tools necessary to use stochastic methods in research with a minimum of mathematical background. Coverage of the more exotic Levy processes is included, as is a concise account of numerical methods for simulating stochastic systems driven by Gaussian noise. The book concludes with a non-technical introduction to the concepts and jargon of measure-theoretic probability theory. With over 70 exercises, this textbook is an easily accessible introduction to stochastic processes and their applications, as well as methods for numerical simulation, for graduate students and researchers in physics.