Fast Compact Algorithms and Software for Spline Smoothing [electronic resource] by Howard L. Weinert.

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, Q...

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Bibliographic Details
Uniform Title:SpringerBriefs in Computer Science, 2191-5776
Main Author: Weinert, Howard L. (Author)
Corporate Author: SpringerLink (Online service)
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Computer Science,
Subjects:
Mathematical statistics—Data processing.
Signal processing.
Mathematics—Data processing.
Engineering mathematics.
Engineering—Data processing.
Computer software.
Online Access:
Springer English/International eBooks 2013 - Full Set: 2013 (Springer Link)
Format: Electronic eBook
Contents:
  • Introduction
  • Cholesky Algorithm
  • QR Algorithm
  • FFT Algorithm
  • Discrete Spline Smoothing.