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Publicado por Melville, American Institute of Physics., 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
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Añadir al carritoVII, 113 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Sprache: Englisch.
Idioma: Inglés
Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Idioma: Inglés
Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
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Idioma: Inglés
Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Idioma: Inglés
Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
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Añadir al carritoCondición: New. pp. 113 1st Edition.
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Idioma: Inglés
Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
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Añadir al carritoCondición: New. pp. 113 Illus.
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Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
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Añadir al carritoCondición: New. pp. 113.
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Publicado por World Scientific Publishing Company, 2023
ISBN 10: 9811263620 ISBN 13: 9789811263620
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ISBN 10: 9811263620 ISBN 13: 9789811263620
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Añadir al carritoHardcover. Condición: Very Good. No Jacket. 1st Edition. 2009.Hardcover.Very good condition.276 pages.Ships from Japan.Usually ships in 1-2 working days.
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Publicado por World Scientific Publishing Co Pte Ltd, SG, 2023
ISBN 10: 9811263620 ISBN 13: 9789811263620
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoHardback. Condición: New. The fragment molecular orbital (FMO) method is a fast linear-scaling quantum-mechanical method employed by chemists and physicists all over the world. It provides a wealth of properties of fragments from quantum-chemical calculations, a bottomless treasure pit for data mining and machine learning. However, there is no user-friendly description of its usage in the widely employed quantum-chemical open-source software GAMESS, nor is there any book covering the usage of GAMESS in general. This leaves very many interested users to their own devices to get through a variety of problems with very cryptic descriptions of keywords in the program manual and no guide whatsoever as to what options should be set for particular scientific tasks. This book is the panacea to many frustrations.The main focus of the book is to build a solid bridge connecting FMO users to GAMESS, by giving a helpful introduction of various FMO methods as needed for particular problems found in computational chemistry, and describing in detail how to do these simulations and understand the results from the output of the program. The book also covers parallelization strategies for attaining high parallel efficiency in massively parallel computations, and provides means to analyze performance and design a solution for overcoming performance bottlenecks. A special section is devoted to dealing with problems in executing GAMESS, arising from computational environment and user errors. Finally, 14 carefully selected types of applications are discussed in detail, describing the input keywords and explaining where to find the main results in the text-based output.
Idioma: Inglés
Publicado por American Institute of Physics, 2008
ISBN 10: 0735405174 ISBN 13: 9780735405172
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 146,30
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Idioma: Inglés
Publicado por World Scientific Pub Co Inc, 2023
ISBN 10: 9811263620 ISBN 13: 9789811263620
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 300 pages. 9.00x6.00x0.96 inches. In Stock.
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Idioma: Inglés
Publicado por World Scientific Publishing Co Pte Ltd, SG, 2023
ISBN 10: 9811263620 ISBN 13: 9789811263620
Librería: Rarewaves.com UK, London, Reino Unido
EUR 167,16
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Añadir al carritoHardback. Condición: New. The fragment molecular orbital (FMO) method is a fast linear-scaling quantum-mechanical method employed by chemists and physicists all over the world. It provides a wealth of properties of fragments from quantum-chemical calculations, a bottomless treasure pit for data mining and machine learning. However, there is no user-friendly description of its usage in the widely employed quantum-chemical open-source software GAMESS, nor is there any book covering the usage of GAMESS in general. This leaves very many interested users to their own devices to get through a variety of problems with very cryptic descriptions of keywords in the program manual and no guide whatsoever as to what options should be set for particular scientific tasks. This book is the panacea to many frustrations.The main focus of the book is to build a solid bridge connecting FMO users to GAMESS, by giving a helpful introduction of various FMO methods as needed for particular problems found in computational chemistry, and describing in detail how to do these simulations and understand the results from the output of the program. The book also covers parallelization strategies for attaining high parallel efficiency in massively parallel computations, and provides means to analyze performance and design a solution for overcoming performance bottlenecks. A special section is devoted to dealing with problems in executing GAMESS, arising from computational environment and user errors. Finally, 14 carefully selected types of applications are discussed in detail, describing the input keywords and explaining where to find the main results in the text-based output.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. COMPLETE GUIDE TO FRAGMENT MOLECULAR ORBITAL METHOD GAMESS | Fedorov Dmitri G | Buch | Gebunden | Englisch | 2023 | World Scientific | EAN 9789811263620 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The fragment molecular orbital (FMO) method is a fast linear-scaling quantum-mechanical method employed by chemists and physicists all over the world. It provides a wealth of properties of fragments from quantum-chemical calculations, a bottomless treasure pit for data mining and machine learning. However, there is no user-friendly description of its usage in the widely employed quantum-chemical open-source software GAMESS, nor is there any book covering the usage of GAMESS in general. This leaves very many interested users to their own devices to get through a variety of problems with very cryptic descriptions of keywords in the program manual and no guide whatsoever as to what options should be set for particular scientific tasks. This book is the panacea to many frustrations.The main focus of the book is to build a solid bridge connecting FMO users to GAMESS, by giving a helpful introduction of various FMO methods as needed for particular problems found in computational chemistry, and describing in detail how to do these simulations and understand the results from the output of the program. The book also covers parallelization strategies for attaining high parallel efficiency in massively parallel computations, and provides means to analyze performance and design a solution for overcoming performance bottlenecks. A special section is devoted to dealing with problems in executing GAMESS, arising from computational environment and user errors. Finally, 14 carefully selected types of applications are discussed in detail, describing the input keywords and explaining where to find the main results in the text-based output.