Perturbation Methods Using Backward Error (Paperback)
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., New York, 2026
- Softcover
- New

Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
US$ 108.24
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Paperback. Perturbation methods are old and powerful. Solutions are provided as formulas rather than numbers or pictures, so the skill of the person (or machine!) reading the formula is essential.This unique book presents several classical methods to solve perturbation problems using backward error analysis. This lessens the likelihood of blunders because the method for testing the validity of the answers is uniform. It also demands that the modeler consider the effects of other changes to the data or model equations. For this the concept of a condition number from numerical analysis is used.Perturbation Methods Using Backward Error includesincludes a discussion of the impact on science of the idea of perturbation,includes a chapter on the relatively novel renormalization group method,uses computer algebra (via Maple) to ease the computing of symbolic answers, andprovides solutions to all exercises. Unique perspective on perturbation theory unites time-honored techniques with backward error analysis to uniformly validate solutions. Emphasizing model sensitivity via condition numbers, it delves into renormalization group methods, harnesses Maple for symbolic computation, and equips readers with practical exercise solutions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9781611978858
- Title
- Perturbation Methods Using Backward Error (Paperback)
- Author
- Robert M. Corless
- Publisher
- Society for Industrial & Applied Mathematics,U.S., New York
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1611978858
- ISBN 13
- 9781611978858
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CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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