Fast Compact Algorithms and Software for Spline Smoothing

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
Call Number:Libro Electrónico
Main Author: Weinert, Howard L. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
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.
Statistics and Computing.
Signal, Speech and Image Processing .
Computational Science and Engineering.
Mathematical and Computational Engineering Applications.
Mathematical Software.
Online Access:Texto Completo
Table of Contents:
  • Introduction
  • Cholesky Algorithm
  • QR Algorithm
  • FFT Algorithm
  • Discrete Spline Smoothing.

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