Fast Compact Algorithms and Software for Spline Smoothing Paperback / softback
by Howard L. Weinert
Part of the SpringerBriefs in Computer Science series
Paperback / softback
Description
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.
Information
-
Item not Available
- Format:Paperback / softback
- Pages:45 pages, 6 Tables, black and white; 5 Illustrations, color; 2 Illustrations, black and white; VIII,
- Publisher:Springer-Verlag New York Inc.
- Publication Date:11/10/2012
- Category:
- ISBN:9781461454953
Other Formats
- PDF from £22.94
Information
-
Item not Available
- Format:Paperback / softback
- Pages:45 pages, 6 Tables, black and white; 5 Illustrations, color; 2 Illustrations, black and white; VIII,
- Publisher:Springer-Verlag New York Inc.
- Publication Date:11/10/2012
- Category:
- ISBN:9781461454953
