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: | 9781461454960 |
| Publication date: | 12th October 2012 |
| Author: | Weinert, Howard L. |
| Publisher: | Springer New York |
| Format: | Ebook |
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.
Ebook, Paperback. £26.99. Digital. Available Immediately. Country restrictions apply..
Fast Compact Algorithms and Software for Spline Smoothing was written by Weinert, Howard L. and published by Springer New York
£26.99. Digital. Available Immediately. Country restrictions apply..