Lingua: Inglese
Editore: World Scientific Publishing Comp, 2005
ISBN 10: 9810223293 ISBN 13: 9789810223298
Da: suffolkbooks, Center moriches, NY, U.S.A.
hardcover. Condizione: Good. Fast Shipping - Safe and Secure 7 days a week!
Lingua: Inglese
Editore: World Scientific Publishing Company, 2005
ISBN 10: 9810223293 ISBN 13: 9789810223298
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Lingua: Inglese
Editore: World Scientific Publishing Company, 2005
ISBN 10: 9810223293 ISBN 13: 9789810223298
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 166,00
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: WORLD SCIENTIFIC PUB CO INC, 2007
ISBN 10: 9810223293 ISBN 13: 9789810223298
Da: moluna, Greven, Germania
EUR 144,17
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. This work attempts to bridge the gap between theory and practice, concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year or postgraduate mathematicians it is principally aimed at the app.
Lingua: Inglese
Editore: World Scientific Publishing Company Dez 2007, 2007
ISBN 10: 9810223293 ISBN 13: 9789810223298
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 177,96
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the method is now widely used in many important areas of science including nuclear and semiconductor physics, statistical mechanics and heat and mass transfer.This book attempts to bridge the gap between theory and practice concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year postgraduate mathematicians and computational scientists it is principally aimed at the applied scientists: only a small amount of mathematical knowledge is assumed and theorem proving is kept to a minimum, with the main focus being on parallel algorithms development often to applied industrial problems.A selection of algorithms developed both for serial and parallel machines are provided.