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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Error Control and Adaptivity in Scientific Computing

Error Control and Adaptivity in Scientific Computing

Bulgak, Haydar
Zenger, Christoph

Hardcover

Series: NATO Science Series C:, Book 536

Medical ReferenceGeneral MathematicsProgramming

ISBN10: 0792358082
ISBN13: 9780792358084
Publisher: Springer Nature
Published: Jun 30 1999
Pages: 354
Weight: 1.55
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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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