One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. Modern simulation tools are not used only by experts, however, and reliability has therefore become an important issue, meaning that it is not sufficient for a simulation package merely to print out some numbers, claiming them to be the desired results. An estimate of the associated error is also needed. The errors may derive from many sources: errors in the model, errors in discretization, rounding errors, etc.
Unfortunately, this situation does not obtain for current packages and there is a great deal of room for improvement. Only if the error can be estimated is it possible to do something to reduce it. The contributions in this book cover many aspects of the subject, the main topics being error estimates and error control in numerical linear algebra algorithms (closely related to the concept of condition numbers), interval arithmetic and adaptivity for continuous models.
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One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. Modern simulation tools are not used only by experts, however, and reliability has therefore become an important issue, meaning that it is not sufficient for a simulation package merely to print out some numbers, claiming them to be the desired results. An estimate of the associated error is also needed. The errors may derive from many sources: errors in the model, errors in discretization, rounding errors, etc.
Unfortunately, this situation does not obtain for current packages and there is a great deal of room for improvement. Only if the error can be estimated is it possible to do something to reduce it. The contributions in this book cover many aspects of the subject, the main topics being error estimates and error control in numerical linear algebra algorithms (closely related to the concept of condition numbers), interval arithmetic and adaptivity for continuous models.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. Modern simulation tools are not used only by experts, however, and reliability has therefore become an important issue, meaning that it is not sufficient for a simulation package merely to print out some numbers, claiming them to be the desired results. An estimate of the associated error is also needed. The errors may derive from many sources: errors in the model, errors in discretization, rounding errors, etc. Unfortunately, this situation does not obtain for current packages and there is a great deal of room for improvement. Only if the error can be estimated is it possible to do something to reduce it. The contributions in this book cover many aspects of the subject, the main topics being error estimates and error control in numerical linear algebra algorithms (closely related to the concept of condition numbers), interval arithmetic and adaptivity for continuous models. 376 pp. Englisch. Nº de ref. del artículo: 9780792358091
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the NATO Advanced Study Institute, Antalya, Turkey, August 9-21, 1998 One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. Modern simulation tools are not used. Nº de ref. del artículo: 5968933
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Condición: New. Proceedings of the NATO Advanced Study Institute, Antalya, Turkey, August 9-21, 1998 Editor(s): Bulgak, Haydar; Zenger, Christoph. Series: NATO Science Series C. Num Pages: 354 pages, biography. BIC Classification: PBKS; PBT. Category: (P) Professional & Vocational. Dimension: 240 x 160 x 19. Weight in Grams: 1150. . 1999. Paperback. . . . . Nº de ref. del artículo: V9780792358091
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Taschenbuch. Condición: Neu. Error Control and Adaptivity in Scientific Computing | Christoph Zenger (u. a.) | Taschenbuch | xvi | Englisch | 1999 | Springer Netherland | EAN 9780792358091 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 102230446
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -One of the main ways by which we can understand complex processes is to create computerised numerical simulation models of them. Modern simulation tools are not used only by experts, however, and reliability has therefore become an important issue, meaning that it is not sufficient for a simulation package merely to print out some numbers, claiming them to be the desired results. An estimate of the associated error is also needed. The errors may derive from many sources: errors in the model, errors in discretization, rounding errors, etc.Unfortunately, this situation does not obtain for current packages and there is a great deal of room for improvement. Only if the error can be estimated is it possible to do something to reduce it. The contributions in this book cover many aspects of the subject, the main topics being error estimates and error control in numerical linear algebra algorithms (closely related to the concept of condition numbers), interval arithmetic and adaptivity for continuous models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch. Nº de ref. del artículo: 9780792358091
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Condición: New. Proceedings of the NATO Advanced Study Institute, Antalya, Turkey, August 9-21, 1998 Editor(s): Bulgak, Haydar; Zenger, Christoph. Series: NATO Science Series C. Num Pages: 354 pages, biography. BIC Classification: PBKS; PBT. Category: (P) Professional & Vocational. Dimension: 240 x 160 x 19. Weight in Grams: 1150. . 1999. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9780792358091
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