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Fast Compact Algorithms and Software for Spline Smoothing

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-1-4614-5496-0 / 978-1461454960 / 9781461454960

Verlag: Springer US

Erscheinungsdatum: 12.10.2012

Seiten: 45

Autor(en): Howard L. Weinert

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