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Computational Accelerator Physics 2003: Proceedings of the Seventh International Conference on Computational Accelerator Physics, Michigan, USA, 15-18 . 175 (Institute of Physics Conference Series)
Language: English
Published by CRC Press 2005-02-01, 2005
ISBN 10: 0750309393 ISBN 13: 9780750309394
Hardcover. Condition: New.
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Computational Accelerator Physics 2003: Proceedings of the Seventh International Conference on Computational Accelerator Physics, Michigan, USA, 15-18 October 2003
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 402.17
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Computational Accelerator Physics 2003: Proceedings of the Seventh International Conference on Computational Accelerator Physics, Michigan, USA, 15-18 October 2003
Language: English
Published by Inst of Physics Pub Inc, 2005
ISBN 10: 0750309393 ISBN 13: 9780750309394
Hardcover. Condition: Brand New. 1st edition. 354 pages. 9.25x6.25x1.00 inches. In Stock.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. M Berz, Michigan State University. K. Makino, University of Illinois at Urbana-Champaign, USA.This volume provides an overview of the state of the art in computational accelerator physics, based on papers presented at the seventh international conferenc.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This volume provides an overview of the state of the art in computational accelerator physics, based on papers presented at the seventh international conference at Michigan State University in October 2002. The major topics covered in this volume include particle tracking and ray tracing, transfer map methods, field computation for time dependent Maxwell's equations and static magnetic problems, as well as space charge and beam-beam effects. The book also discusses modern computational environments, including parallel clusters, visualization, and new programming paradigms. It is ideal for scientists and engineers working in beam or accelerator physics and related areas of applied math and computer science.
