Fast Compact Algorithms and Software for Spline Smoothing
Nonfiction, Science & Nature, Technology, Electronics, Computers, Application Software, General Computing
| Author: | Howard L. Weinert | ISBN: | 9781461454960 |
| Publisher: | Springer New York | Publication: | October 12, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Howard L. Weinert |
| ISBN: | 9781461454960 |
| Publisher: | Springer New York |
| Publication: | October 12, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
