scholarly journals Optimal Error Bounds for Quadratic Spline Interpolation

1996 ◽  
Vol 198 (1) ◽  
pp. 49-63 ◽  
Author(s):  
François Dubeau ◽  
Jean Savoie
1990 ◽  
Vol 30 (3) ◽  
pp. 484-489 ◽  
Author(s):  
M. N. El Tarazi

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Feng-Gong Lang ◽  
Xiao-Ping Xu

We mainly present the error analysis for two new cubic spline based methods; one is a lacunary interpolation method and the other is a very simple quasi interpolation method. The new methods are able to reconstruct a function and its first two derivatives from noisy function data. The explicit error bounds for the methods are given and proved. Numerical tests and comparisons are performed. Numerical results verify the efficiency of our methods.


2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
François Dubeau

We present a unified way to obtain optimal error bounds for general interpolatory integration rules. The method is based on the Peano form of the error term when we use Taylor’s expansion. These bounds depend on the regularity of the integrand. The method of integration by parts “backwards” to obtain bounds is also discussed. The analysis includes quadrature rules with nodes outside the interval of integration. Best error bounds for composite integration rules are also obtained. Some consequences of symmetry are discussed.


2012 ◽  
Vol 218 (13) ◽  
pp. 7034-7051 ◽  
Author(s):  
Javier de Frutos ◽  
Bosco García-Archilla ◽  
Julia Novo

1983 ◽  
Vol 3 (2) ◽  
pp. 141-152 ◽  
Author(s):  
R. DELBOURGO ◽  
J. A. GREGORY

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