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Item Details
Title: PRINCIPLES AND PROCEDURES OF NUMERICAL ANALYSIS
By: Ferenc Szidarovszky, Sidney J. Yakowitz
Format: Paperback

List price: £76.50


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 0306400871
ISBN 13: 9780306400872
Publisher: SPRINGER SCIENCE+BUSINESS MEDIA
Pub. date: 1 January, 1978
Edition: Softcover reprint of the original 1st ed. 1978
Series: Mathematical Concepts and Methods in Science and Engineering 14
Pages: 331
Description: It is an incontestable fact that numerical analysis techniques are used rou- tinely (although not always effectively) in virtually every quantitative field of scientific endeavor.
Synopsis: It is an incontestable fact that numerical analysis techniques are used rou- tinely (although not always effectively) in virtually every quantitative field of scientific endeavor. In this book, which is directed toward upper-division and graduate level students in engineering and mathematics, we have selected for discussion subjects that are traditionally found in numerical analysis texts. But our choice of methodology rejects the traditional where analysis and experience clearly warrant such a departure, and one of our primary aspirations in this work is to equip the reader with the wherewithal to apply numerical analysis thinking to nontraditional subjects. For there is a plethora of computer-oriented sciences such as optimization, statistics, and system analysis and identification that are sorely in need of methods comparable to those related here for classical numerical analysis problems. Toward uncovering for the reader the structure of numerical methods we have, for example, devoted a chapter to a metric space theory for iter- ative application of operators. In this chapter, we have collected those definitions and concepts of real and functional analysis that are requisite to a modern intermediate-level exposition of the principles of numerical anal- ysis. Further, we derive the abstract theory (most notably, the contraction mapping theorem) for iteration processes.
Illustrations: 1 Illustrations, black and white; XII, 331 p. 1 illus.
Publication: US
Imprint: Kluwer Academic/Plenum Publishers
Returns: Returnable
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LINEAR SYSTEMS THEORY (HB)
MODELING UNCERTAINTY (HB)
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