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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2013 Volume 53, Number 10, Pages 1610–1621 (Mi zvmmf9925)

This article is cited in 18 papers

Monotone and convex interpolation by weighted cubic splines

B. I. Kvasov

Institute of Computational Technologies, Siberian Branch, Russian Academy of Sciences, pr. Akademika Lavrent'eva 6, Novosibirsk, 630090, Russia

Abstract: Algorithms for interpolating by weighted cubic splines are constructed with the aim of preserving the monotonicity and convexity of the original discrete data. The analysis performed in this paper makes it possible to develop two algorithms with the automatic choice of the shape-controlling parameters (weights). One of them preserves the monotonicity of the data, while the other preserves the convexity. Certain numerical results are presented.

Key words: monotone and convex interpolation, weighted cubic splines, adaptive choice of the shape-controlling parameters.

UDC: 519.652.3

Received: 25.03.2013

DOI: 10.7868/S0044466913100116


 English version:
Computational Mathematics and Mathematical Physics, 2013, 53:10, 1428–1439

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© Steklov Math. Inst. of RAS, 2025