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Spectral Theory of Approximation Methods for Convolution Equations (Paperback, Softcover reprint of the original 1st ed. 1995) Loot Price: R1,605
Discovery Miles 16 050
Spectral Theory of Approximation Methods for Convolution Equations (Paperback, Softcover reprint of the original 1st ed. 1995):...

Spectral Theory of Approximation Methods for Convolution Equations (Paperback, Softcover reprint of the original 1st ed. 1995)

Roland Hagen, Steffen Roch, Bernd Silbermann

Series: Operator Theory: Advances and Applications, 74

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Loot Price R1,605 Discovery Miles 16 050 | Repayment Terms: R150 pm x 12*

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The aim of the present book is to propose a new algebraic approach to the study of norm stability of operator sequences which arise, for example, via discretization of singular integral equations on composed curves. A wide variety of discretization methods, including quadrature rules and spline or wavelet approximations, is covered and studied from a unique point of view. The approach takes advantage of the fruitful interplay between approximation theory, concrete operator theory, and local Banach algebra techniques. The book is addressed to a wide audience, in particular to mathematicians working in operator theory and Banach algebras as well as to applied mathematicians and engineers interested in theoretical foundations of various methods in general use, particularly splines and wavelets. The exposition contains numerous examples and exercises. Students will find a large number of suggestions for their own investigations.

General

Imprint: Springer Basel
Country of origin: Switzerland
Series: Operator Theory: Advances and Applications, 74
Release date: September 2011
First published: 1995
Authors: Roland Hagen • Steffen Roch • Bernd Silbermann
Dimensions: 244 x 170 x 20mm (L x W x T)
Format: Paperback
Pages: 376
Edition: Softcover reprint of the original 1st ed. 1995
ISBN-13: 978-3-03-489891-1
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
LSN: 3-03-489891-6
Barcode: 9783034898911

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