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Exponential Fitting (Hardcover, 2004 ed.) Loot Price: R1,577
Discovery Miles 15 770
Exponential Fitting (Hardcover, 2004 ed.): Liviu Gr. Ixaru, Guido Van Den Berghe

Exponential Fitting (Hardcover, 2004 ed.)

Liviu Gr. Ixaru, Guido Van Den Berghe

Series: Mathematics and Its Applications, 568

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Loot Price R1,577 Discovery Miles 15 770 | Repayment Terms: R148 pm x 12*

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Exponential Fitting is a procedure for an efficient numerical approach of functions consisting of weighted sums of exponential, trigonometric or hyperbolic functions with slowly varying weight functions. This book is the first one devoted to this subject. Operations on the functions described above like numerical differentiation, quadrature, interpolation or solving ordinary differential equations whose solution is of this type, are of real interest nowadays in many phenomena as oscillations, vibrations, rotations, or wave propagation.

The authors studied the field for many years and contributed to it. Since the total number of papers accumulated so far in this field exceeds 200 and the fact that these papers are spread over journals with various profiles (such as applied mathematics, computer science, computational physics and chemistry) it was time to compact and to systematically present this vast material.

In this book, a series of aspects is covered, ranging from the theory of the procedure up to direct applications and sometimes including ready to use programs. The book can also be used as a textbook for graduate students. It comes with a complimentary CD Rom.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Mathematics and Its Applications, 568
Release date: May 2004
First published: 2004
Authors: Liviu Gr. Ixaru • Guido Van Den Berghe
Dimensions: 297 x 210 x 25mm (L x W x T)
Format: Hardcover
Pages: 308
Edition: 2004 ed.
ISBN-13: 978-1-4020-2099-5
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
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LSN: 1-4020-2099-6
Barcode: 9781402020995

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