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.
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Robert M. Corless is emeritus distinguished university professor at Western University, a member of the Rotman Institute of Philosophy, former scientific director of The Ontario Research Center for Computer Algebra, and an adjunct professor at the Cheriton School of Computer Science, the University of Waterloo. He is the editor-in-chief of Maple Transactions. In 2019 he was awarded the Ford-Halmos Prize, along with the late Jonathan Borwein, for expository excellence for the paper Gamma and Factorial in the Monthly.
Nicolas Fillion is an associate professor of philosophy at Simon Fraser University. His main research contributions are in the philosophy of science and applied mathematics, but his research and teaching include the history of logic, mathematics, and science, formal logic, decision and game theory, critical thinking, philosophy of language, ancient Greek philosophy, and epistemology broadly construed. In 2019 he was awarded the Cormack Award for Excellence in Teaching.
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Paperback. Condizione: new. 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 multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781611978858
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Paperback. Condizione: New. 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. Codice articolo LU-9781611978858
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Paperback. Condizione: new. 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781611978858
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