Fast Compact Algorithms and Software for Spline Smoothing

Fast Compact Algorithms and Software for Spline Smoothing 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
Main Author: Weinert, Howard L. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Computer Science,
Springer eBook Collection.
Subjects:
Statistics .
Signal processing.
Image processing.
Speech processing systems.
Computer mathematics.
Applied mathematics.
Engineering mathematics.
Computer software.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction
  • Cholesky Algorithm
  • QR Algorithm
  • FFT Algorithm
  • Discrete Spline Smoothing.

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