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JOURNALS // Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia // Archive

Dokl. RAN. Math. Inf. Proc. Upr., 2025 Volume 523, Pages 31–34 (Mi danma644)

MATHEMATICS

Error bounds for interpolation in the mean integro quadratic splines and superconvergence points

Yu. S. Volkov

Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia

Abstract: The problem of interpolation in the mean of a function on known integrally averaged values by an integro quadratic spline is considered. It is shown that the integro quadratic spline can be defined via the interpolation cubic spline. Since the interpolation cubic spline is studied quite well, well-known error bounds for interpolation and some of its properties can be transferred to the integro quadratic spline. The points of superconvergence of the integro spline are found, i.e. the points at which the spline or its derivatives have a higher order of approximation.

Keywords: integro quadratic spline, cubic spline, error bounds, superconvergence, interpolation in the mean.

UDC: 519.65

Presented: V. G. Romanov
Received: 20.02.2025
Revised: 25.03.2025
Accepted: 30.04.2025

DOI: 10.31857/S2686954325030063


 English version:
Doklady Mathematics, 2025, 111:3, 172–174

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© Steklov Math. Inst. of RAS, 2026