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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Weinert, Howard L. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:SpringerBriefs in Computer Science,
Temas:
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.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Cholesky Algorithm
  • QR Algorithm
  • FFT Algorithm
  • Discrete Spline Smoothing.

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