Fast Compact Algorithms And Software For Spline Smoothing - Info and Reading Options
By Howard L. Weinert
"Fast Compact Algorithms And Software For Spline Smoothing" was published by Springer in 2012 and it has 45 pages.
“Fast Compact Algorithms And Software For Spline Smoothing” Metadata:
- Title: ➤ Fast Compact Algorithms And Software For Spline Smoothing
- Author: Howard L. Weinert
- Number of Pages: 45
- Publisher: Springer
- Publish Date: 2012
“Fast Compact Algorithms And Software For Spline Smoothing” Subjects and Themes:
- Subjects: ➤ Statistics - Numerical analysis - Spline theory - Computer science - Computer software - Mathematical statistics - Engineering mathematics - Statistics and Computing/Statistics Programs - Image and Speech Processing Signal - Computational Science and Engineering - Appl.Mathematics/Computational Methods of Engineering - Mathematical Software
Edition Identifiers:
- The Open Library ID: OL26076355M - OL17489518W
- ISBN-13: 9781461454953
- All ISBNs: 9781461454953
AI-generated Review of “Fast Compact Algorithms And Software For Spline Smoothing”:
"Fast Compact Algorithms And Software For Spline Smoothing" Description:
The Open Library:
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.
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