Sequence Transformations

Springer Series in Computational Mathematics

Book 11
Springer Science & Business Media
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The book gives a very clear and concise summary of the important fields of sequence transformations and convergence acceleration methods. Some of the outstanding features are: - precise definitions of algorithmic sequence transformations, - a study of the power of sequence transformations, - proof of negative results on acceleration methods (namely, that some sequence families are not accelerable), - new algorithms for convergence acceleration (in particular automatic selection procedures). For researchers and graduate students working in or with convergence acceleration methods and sequence transformations, this book is sure to become an important tool. This book is a contribution to the theory and practice of convergence acceleration methods. It gives a new survey point of view on the subject, with positive results (new method of acceleration) and negative results (proofs that some sequence families are not accelerable).
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Additional Information

Publisher
Springer Science & Business Media
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Published on
Dec 6, 2012
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Pages
252
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ISBN
9783642613470
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Best For
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Language
English
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Genres
Mathematics / Algebra / General
Mathematics / Number Systems
Mathematics / Numerical Analysis
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Content Protection
This content is DRM protected.
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