Fast Compact Algorithms and Software for Spline Smoothing

<i>Fast Compact Algorithms and Software for Spline Smoothing</i> 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.

שנה

2013

שפה

English

סדרה

SpringerBriefs in Computer Science

הוצאה

Springer New York

מהדורות

1

עמודים

45

ISBN

9781461454960

מקור הנתונים: Wikidata