Quantitative Approximations

Quantitative Approximations
Author: George Anastassiou
Publisher: CRC Press
Total Pages: 624
Release: 2000-09-15
Genre: Mathematics
ISBN: 1482285797


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Quantitative approximation methods apply in many diverse fields of research-neural networks, wavelets, partial differential equations, probability and statistics, functional analysis, and classical analysis to name just a few. For the first time in book form, Quantitative Approximations provides a thorough account of all of the significant developm

Quantitative Approximations
Language: en
Pages: 624
Authors: George Anastassiou
Categories: Mathematics
Type: BOOK - Published: 2000-09-15 - Publisher: CRC Press

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Quantitative approximation methods apply in many diverse fields of research-neural networks, wavelets, partial differential equations, probability and statistic
Interpolation and Approximation
Language: en
Pages: 418
Authors: Philip J. Davis
Categories: Mathematics
Type: BOOK - Published: 1975-01-01 - Publisher: Courier Corporation

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Intermediate-level survey covers remainder theory, convergence theorems, and uniform and best approximation. Other topics include least square approximation, Hi
Approximate Approximations
Language: en
Pages: 368
Authors: V. G. Mazʹi︠a︡
Categories: Mathematics
Type: BOOK - Published: 2007 - Publisher: American Mathematical Soc.

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In this book, a new approach to approximation procedures is developed. This new approach is characterized by the common feature that the procedures are accurate
Diophantine Approximations
Language: en
Pages: 82
Authors: Ivan Niven
Categories: Mathematics
Type: BOOK - Published: 2013-01-23 - Publisher: Courier Corporation

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This self-contained treatment covers approximation of irrationals by rationals, product of linear forms, multiples of an irrational number, approximation of com
Saddlepoint Approximations with Applications
Language: en
Pages: 548
Authors: Ronald W. Butler
Categories: Mathematics
Type: BOOK - Published: 2007-08-16 - Publisher: Cambridge University Press

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Modern statistical methods use complex, sophisticated models that can lead to intractable computations. Saddlepoint approximations can be the answer. Written fr