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Fast Compact Algorithms and Software for Spline Smoothing. 2013 ed..
・ISBN 978-1-4614-5495-3 paper EUR 39.95
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| 著者・編者 | Weinert, Howard L., |
|---|---|
| シリーズ | SpringerBriefs in Computer Science |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2012 |
| ページ数 | 45 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-20701＞ |
解説
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.