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Numerical analysis has witnessed many significant developments in
the 20th century. This book brings together 16 papers dealing with
historical developments, survey papers and papers on recent trends
in selected areas of numerical analysis, such as: approximation and
interpolation, solution of linear systems and eigenvalue problems,
iterative methods, quadrature rules, solution of ordinary-,
partial- and integral equations. The papers are reprinted from the
7-volume project of the "Journal of Computational and Applied
Mathematics" on '/homepage/sac/cam/na2000/index.htmlNumerical
Analysis 2000'. An introductory survey paper deals with the history
of the first courses on numerical analysis in several countries and
with the landmarks in the development of important algorithms and
concepts in the field.
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Polynomes Orthogonaux Et Applications - Proceedings of the Laguerre Symposium Held at Bar-Le-Duc, October 15-18, 1984 (English, German, French, Paperback, 1985 ed.)
C. Brezinski, A. Draux, A. P. Magnus, P. Maroni, A. Ronveaux
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R1,851
Discovery Miles 18 510
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Ships in 10 - 15 working days
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/homepage/sac/cam/na2000/index.html7-Volume Set now available at
special set price
This volume is dedicated to two closely related subjects:
interpolation and extrapolation. The papers can be divided into
three categories: historical papers, survey papers and papers
presenting new developments.
Interpolation is an old subject since, as noticed in the paper by
M. Gasca and T. Sauer, the term was coined by John Wallis in 1655.
Interpolation was the first technique for obtaining an
approximation of a function. Polynomial interpolation was then used
in quadrature methods and methods for the numerical solution of
ordinary differential equations.
Extrapolation is based on interpolation. In fact, extrapolation
consists of interpolation at a point outside the interval
containing the interpolation points. Usually, this point is either
zero or infinity. Extrapolation is used in numerical analysis to
improve the accuracy of a process depending of a parameter or to
accelerate the convergence of a sequence. The most well-known
extrapolation processes are certainly Romberg's method for
improving the convergence of the trapezoidal rule for the
computation of a definite integral and Aiken's &Dgr;2 process
which can be found in any textbook of numerical analysis.
Obviously, all aspects of interpolation and extrapolation have not
been treated in this volume. However, many important topics have
been covered.
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