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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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Previews available in: English
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1
Error Control and Adaptivity in Scientific Computing
2012, Springer
in English
9401146470 9789401146470
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2
Error Control and Adaptivity in Scientific Computing
June 30, 1999, Springer
Paperback
in English
- 1 edition
0792358090 9780792358091
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- Created April 29, 2008
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October 4, 2021 | Edited by ImportBot | import existing book |
June 30, 2019 | Edited by MARC Bot | import existing book |
April 28, 2011 | Edited by OCLC Bot | Added OCLC numbers. |
April 24, 2010 | Edited by Open Library Bot | Fixed duplicate goodreads IDs. |
April 29, 2008 | Created by an anonymous user | Imported from amazon.com record |