Fast Compact Algorithms and Software for Spline Smoothing
Author:   Howard L. Weinert
Publisher:   Springer-Verlag New York Inc.
Edition:   2013 ed.
ISBN:  

9781461454953


Pages:   45
Publication Date:   11 October 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Fast Compact Algorithms and Software for Spline Smoothing


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Overview

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.

Full Product Details

Author:   Howard L. Weinert
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 0.20cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9781461454953


ISBN 10:   1461454956
Pages:   45
Publication Date:   11 October 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Cholesky Algorithm.- QR Algorithm.- FFT Algorithm.- Discrete Spline Smoothing.

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