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Beschreibung
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.
Details
| Verlag | Springer US |
| Ersterscheinung | 11. Oktober 2012 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 102 Gramm |
| Format | Softcover |
| ISBN-13 | 9781461454953 |
| Seiten | 45 |
Schlagwörter
Computational Science and Engineering, Digitale Signalverarbeitung (DSP), Elektronik, Mathematical and Computational Engineering Applications, Mathematical Software, Mathematik für Ingenieure, Mathematische und statistische Software, Numerische Mathematik, Signal - Speech and Image Processing, Statistics and Computing, Wahrscheinlichkeitsrechnung und Statistik
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