ERROR BOUNDS FOR INTERPOLATION IN THE MEAN INTEGRO QUADRATIC SPLINES AND SUPERCONVERGENCE POINTS

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.

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Publication Details

Journal
Доклады Российской академии наук Математика информатика процессы управления / Doklady Mathematics
Published
2025-01-01
DOI
https://doi.org/10.7868/s3034504925030063
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
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article

ERROR BOUNDS FOR INTERPOLATION IN THE MEAN INTEGRO QUADRATIC SPLINES AND SUPERCONVERGENCE POINTS

Yu. S. Volkov
Доклады Российской академии наук Математика информатика процессы управления / Doklady Mathematics
Advanced Numerical Analysis Techniques
article

ERROR BOUNDS FOR INTERPOLATION IN THE MEAN INTEGRO QUADRATIC SPLINES AND SUPERCONVERGENCE POINTS

Yu. S. Volkov
article en

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.

Доклады Российской академии наук Математика информатика процессы управления / Doklady MathematicsVol. 523(1)
Openalex Percentile: Top 73%
Advanced Numerical Analysis Techniques
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