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Improved orders of approximation derived from interpolatory cubic splines

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Abstract

Lets be a cubic spline, with equally spaced knots on [a, b] interpolating a given functiony at the knots. The parameters which determines are used to construct a piecewise defined polynomialP of degree four. It is shown thatP can be used to give better orders of approximation toy and its derivatives than those obtained froms. It is also shown that the known superconvergence properties of the derivatives ofs, at specific points of [a, b], are all special cases of the main result contained in the present paper.

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References

  1. E. L. Albasiny and W. D. Hoskins,Explicit error bounds for periodic splines of odd order on a uniform mesh, J. Inst. Maths. Applics. 12 (1973), 303–312.

    Google Scholar 

  2. G. Birkhoff and C. De Boor,Error bounds for spline interpolation, J. Math. Mech. 13 (1964), 827–835.

    Google Scholar 

  3. C. A. Hall,On error bounds for spline interpolation, J. Approx. Theory 1 (1968), 209–218.

    Google Scholar 

  4. D. Kershaw,The orders of approximation of the first derivative of cubic splines at the knots, Math. Comp. 26 (1972), 191–198.

    Google Scholar 

  5. T. R. Lucas,Error bounds for interpolating cubic splines under various end conditions, SIAM J. Numer. Anal. 11 (1974), 569–584.

    Google Scholar 

  6. A. Ralston,A first course in numerical analysis, New York: McGraw-Hill, 1965.

    Google Scholar 

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Behforooz, G.H., Papamichael, N. Improved orders of approximation derived from interpolatory cubic splines. BIT 19, 19–26 (1979). https://doi.org/10.1007/BF01931217

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  • DOI: https://doi.org/10.1007/BF01931217

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