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Discrete Iterations - A Metric Study (Paperback, Softcover reprint of the original 1st ed. 1986) Loot Price: R2,997
Discovery Miles 29 970
Discrete Iterations - A Metric Study (Paperback, Softcover reprint of the original 1st ed. 1986): Jon Rokne

Discrete Iterations - A Metric Study (Paperback, Softcover reprint of the original 1st ed. 1986)

Jon Rokne; Francois Robert

Series: Springer Series in Computational Mathematics, 6

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Loot Price R2,997 Discovery Miles 29 970 | Repayment Terms: R281 pm x 12*

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a c 9 h In presenting this monograph, I would like to indicate both its orientation as well as my personal reasons for being interested in discrete iterations (that is, iterations on a generally very large, jinite set). While working in numerical analysis I have been interested in two main aspects: - the algorithmic aspect: an iterative algorithm is a mathematical entity which behaves in a dynamic fashion. Even if it is started far from a solution, it will often tend to get closer and closer. - the mathematical aspect: this consists of a coherent and rigorous analy sis of convergence, with the aid of mathematical tools (these tools are mainly the use of norms for convergence proofs, the use of matrix algebra and so on). One may for example refer to the algorithmic and mathematical aspects of Newton's method in JRn as well as to the QR algorithm for eigenvalues of matrices. These two algorithms seem to me to be the most fascinating algorithms in numerical analysis, since both show a remarkable practical efficiency even though there exist relatively few global convergence results for them."

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Springer Series in Computational Mathematics, 6
Release date: October 2011
First published: 1986
Translators: Jon Rokne
Authors: Francois Robert
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 198
Edition: Softcover reprint of the original 1st ed. 1986
ISBN-13: 978-3-642-64882-3
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
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LSN: 3-642-64882-7
Barcode: 9783642648823

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