NDLI: Monotone and convex interpolation by weighted cubic splines

Content Provider	Springer Nature Link
Author	Kvasov, B. I.
Copyright Year	2013
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.
Starting Page	1428
Ending Page	1439
Page Count	12
File Format	PDF
ISSN	09655425
Journal	Computational Mathematics and Mathematical Physics
Volume Number	53
Issue Number	10
e-ISSN	15556662
Language	English
Publisher	Springer US
Publisher Date	2013-10-22
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	monotone and convex interpolation weighted cubic splines adaptive choice of the shape-controlling parameters Computational Mathematics and Numerical Analysis
Content Type	Text
Resource Type	Article
Subject	Computational Mathematics

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Monotone and convex interpolation by weighted cubic splines