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Ixaru, Liviu Gr.; Vanden, Berghe  Guido - Exponential Fitting - 9781402020995 - V9781402020995
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Exponential Fitting

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Description for Exponential Fitting Hardcover. Covers a series of aspects, ranging from the theory of the procedure up to direct applications and sometimes including ready to use programs. This book can also be used as a textbook for graduate students. It comes with a complimentary CD-ROM. Series: Mathematics and its Applications. Num Pages: 308 pages, biography. BIC Classification: PBK. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 242 x 164 x 25. Weight in Grams: 618.

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 ... Read more

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Product Details

Format
Hardback
Publication date
2004
Publisher
Springer-Verlag New York Inc. United States
Number of pages
322
Condition
New
Series
Mathematics and its Applications
Number of Pages
308
Place of Publication
New York, NY, United States
ISBN
9781402020995
SKU
V9781402020995
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Exponential Fitting
From the reviews: "This book concerns exponential fitting in various areas of numerical analysis. It surveys recent research work in these areas with particular emphasis on the solution of initial value problems for ordinary differential equations. It will be of interest to researchers in application areas … but more particularly to those investigating and extending algorithms for ... Read more

Goodreads reviews for Exponential Fitting


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