Fast Compact Algorithms and Software for Spline Smoothing (Paperback, 2013 ed.)

"Fast Compact Algorithms and Software for Spline Smoothing" investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	SpringerBriefs in Computer Science
Release date:	October 2012
First published:	2013
Authors:	Howard L. Weinert
Dimensions:	235 x 155 x 2mm (L x W x T)
Format:	Paperback
Pages:	45
Edition:	2013 ed.
ISBN-13:	978-1-4614-5495-3
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	1-4614-5495-6
Barcode:	9781461454953

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