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Can I read Practical Extrapolation Methods: Theory and Applications (Cambridge Monographs on Applied and Computational Mathematics, Series Number 10) on EtoBox?

Practical Extrapolation Methods: Theory and Applications (Cambridge Monographs on Applied and Computational Mathematics, Series Number 10) by Avram Sidi; P G Ciarlet; A Iserles; R V Kohn; M H Wright is a nonfiction available to read on EtoBox.

What is Practical Extrapolation Methods: Theory and Applications (Cambridge Monographs on Applied and Computational Mathematics, Series Number 10) about?

An important problem that arises in many scientific and engineering applications is that of approximating limits of infinite sequences which in most instances converge very slowly. Thus, to approximate limits with reasonable accuracy, it is necessary to compute a large number of terms, and this is in general costly. These limits can be approximated economically and with high accuracy by applying suitable extrapolation (or convergence acceleration) methods to a small number of terms. This book is concerned with the coherent treatment, including derivation, analysis, and applications, of the most useful scalar extrapolation methods. The methods it discusses are geared toward problems that commonly arise in scientific and engineering disciplines. It differs from existing books on the subject in that it concentrates on the most powerful nonlinear methods, presents in-depth treatments of them, and shows which methods are most effective for different classes of practical nontrivial problems; it also shows how to fine-tune these methods to obtain the best numerical results. This state-of-the-art reference on the theory and practice of extrapolation methods will interest mathematicians int

Who reads Practical Extrapolation Methods: Theory and Applications (Cambridge Monographs on Applied and Computational Mathematics, Series Number 10)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Avram Sidi; P G Ciarlet; A Iserles; R V Kohn; M H Wright
Publisher
Cambridge University Press (Virtual Publishing)
Published
2003
Language
EN
ISBN
9780511068621
Category
nonfiction
Subjects
Mathematics, Numerical Analysis, Stem

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