Smoothing Noisy Data with Spline Functions.
G. Wahba (1975)
Numerische Mathematik
Similarity:
Displaying similar documents to “Smoothing Noisy Data with Spline Functions.”
Smoothing Noisy Data with Spline Functions.
Smoothing Noisy Data with Spline Functions. Estimating the Correct Degree of Smoothing by the Method of Generalized Cross-Validation.
G. Wahba, P. Craven (1978/79)
Numerische Mathematik
Similarity:
Smoothing by Spline Functions. II.
C.H. REINSCH (1970/71)
Numerische Mathematik
Similarity:
Sur le choix du paramètre d'ajustement dans le lissage par fonctions spline.
F. Utreras Diaz (1980)
Numerische Mathematik
Similarity:
A General Method for the Construction of Interpolating or Smoothing Spline-Functions.
P.J. LAURENT, P.M. ANSELONE (1968)
Numerische Mathematik
Similarity:
Smoothing by Spline Functions.
CH.H. REINSCH (1967)
Numerische Mathematik
Similarity:
Spline Approximant in Hilbertian Subspaces of ...(...).
Mohammed-Najib Benbourhim (1986)
Numerische Mathematik
Similarity:
Complete Spline Smoothing.
Chi Li Hu, Larry L. Schumaker (1986)
Numerische Mathematik
Similarity:
Some properties of the interpolating spline-functions space
R. Zejnullahu (1989)
Matematički Vesnik
Similarity:
Best Constants Occuring with the Modulus of Continuity in the Error Estimate for Spline Interpolants of Odd Degree on Equidistant Grids.
M. Reimer (1984)
Numerische Mathematik
Similarity:
A fundamental property of -splines.
Branga, Adrian (1996)
General Mathematics
Similarity:
Alternation for Best Spline Approximations
G. Nürnberger, M. Sommer (1983)
Numerische Mathematik
Similarity: