This introduction to Monte Carlo Methods seeks to identify and study the unifying elements that underlie their effective application. It focuses on two basic themes. The first is the importance of random walks as they occur both in natural stochastic systems and in their relationship to integral and differential equations. The second theme is that of variance reduction in general and importance sampling in particular as a technique for efficient use of the methods. Random walks are introduced with an elementary example in which the modelling of radiation transport arises directly from a schematic probabilistic description of the interaction of radiation with matter. Building on that example, the relationship between random walks and integral equations is outlined. The applicability of these ideas to other problems is shown by a clear and elementary introduction to the solution of the Schrodinger equation by random walks.
Physicists, chemists, statisticians, mathematicians, and computer scientists will find Monte Carlo Methods a complete and stimulating introduction.
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Malvin H. Kalos obtained his BS at Queens College and his MS and PhD at the University of Illinois. After holding a professorship of computer science and being the Director of the Ultracomputer Research Laboratory at the Courant Institute of Mathematical Sciences of New York University, he accepted a post as a scientist at the Livermore National Laboratory. Professor Kalos received the Feenburg Memorial Award in 1989.
Paula A. Whitlock is Professor of Computer and Information Sciences at Brooklyn College, the City University of New York. She received her BS at the State University of New York at Stony Brook and her PhD at Wayne State University. She was a research scientist for many years at the Courant Institute of Mathematical Sciences, New York University. Her research interests include the development of Monte Carlo methods and their application to the study of condensed matter systems. She is also interested in the development of applications in distributed computing.
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Hardcover. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Bestandsnummer des Verkäufers G0471898392I3N10
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Zustand: Good. *Price HAS BEEN REDUCED by 10% until Tuesday, May 26 (holiday sale item)* 186 pp., hardcover, ex library, covers slightly bowed, else text and binding clean and tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Bestandsnummer des Verkäufers ZB1345972
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hardcover. Zustand: near fine. no jacket. 6 1/4 x 9 1/4", 186 pages. ".there are a number of unifying ideas that underlie the study and use of good Monte Carlo methods. Random Walks." ex college library. no spine label, stamped on page edges and inside front cover. pocket and sticker on inside rear cover. other than library stamps this book looks unused. Bestandsnummer des Verkäufers 133148
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Tapa Dura. Zustand: Bien. Zustand des Schutzumschlags: Bien. Tapa dura con sobrecubierta. Abundantes gráficos. Pequeña firma anterior propietario.9780471898399. J. Wiley & Sons. Estados Unidos. 1986. 24x16 centímetros. 186 páginas. Tapa dura. Estado=Bien. Inglés. Bestandsnummer des Verkäufers 45365
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