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.
| ISBN: | 9781461454953 |
| Publication date: | 11th October 2012 |
| Author: | Howard L Weinert |
| Publisher: | Springer an imprint of Springer New York |
| Format: | Paperback |
| Pagination: | 45 pages |
| Series: | SpringerBriefs in Computer Science |
| Genres: |
Probability and statistics Numerical analysis Maths for engineers Electronics engineering Mathematical and statistical software Digital signal processing (DSP) |