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Shape-Preservation Conditions for Cubic Spline Interpolation. / Bogdanov, V. V.; Volkov, Yu S.

In: Siberian Advances in Mathematics, Vol. 29, No. 4, 01.10.2019, p. 231-262.

Research output: Contribution to journal › Article › peer-review

Harvard

Bogdanov, VV & Volkov, YS 2019, 'Shape-Preservation Conditions for Cubic Spline Interpolation', Siberian Advances in Mathematics, vol. 29, no. 4, pp. 231-262. https://doi.org/10.3103/S1055134419040011

APA

Bogdanov, V. V., & Volkov, Y. S. (2019). Shape-Preservation Conditions for Cubic Spline Interpolation. Siberian Advances in Mathematics, 29(4), 231-262. https://doi.org/10.3103/S1055134419040011

Vancouver

Bogdanov VV, Volkov YS. Shape-Preservation Conditions for Cubic Spline Interpolation. Siberian Advances in Mathematics. 2019 Oct 1;29(4):231-262. doi: 10.3103/S1055134419040011

Author

Bogdanov, V. V. ; Volkov, Yu S. / Shape-Preservation Conditions for Cubic Spline Interpolation. In: Siberian Advances in Mathematics. 2019 ; Vol. 29, No. 4. pp. 231-262.

BibTeX

@article{06bdc47d9f4241358ea042e1a83842d1,
title = "Shape-Preservation Conditions for Cubic Spline Interpolation",
abstract = "We consider the problem on shape-preserving interpolation by classical cubic splines. Namely, we consider conditions guaranteeing that, for a positive function (or a function whose kth derivative is positive), the cubic spline (respectively, its kth derivative) is positive. We present a survey of known results, completely describe the cases in which boundary conditions are formulated in terms of the first derivative, and obtain similar results for the second derivative. We discuss in detail mathematical methods for obtaining sufficient conditions for shape-preserving interpolation. We also develop such methods, which allows us to obtain general conditions for a spline and its derivative to be positive. We prove that, for a strictly positive function (or a function whose derivative is positive), it is possible to find an interpolant of the same sign as the initial function (respectively, its derivative) by thickening the mesh.",
keywords = "convexity, cubic spline, monotonicity, shape-preserving interpolation",
author = "Bogdanov, {V. V.} and Volkov, {Yu S.}",
year = "2019",
month = oct,
day = "1",
doi = "10.3103/S1055134419040011",
language = "English",
volume = "29",
pages = "231--262",
journal = "Siberian Advances in Mathematics",
issn = "1055-1344",
publisher = "PLEIADES PUBLISHING INC",
number = "4",

}

RIS

TY - JOUR

T1 - Shape-Preservation Conditions for Cubic Spline Interpolation

AU - Bogdanov, V. V.

AU - Volkov, Yu S.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - We consider the problem on shape-preserving interpolation by classical cubic splines. Namely, we consider conditions guaranteeing that, for a positive function (or a function whose kth derivative is positive), the cubic spline (respectively, its kth derivative) is positive. We present a survey of known results, completely describe the cases in which boundary conditions are formulated in terms of the first derivative, and obtain similar results for the second derivative. We discuss in detail mathematical methods for obtaining sufficient conditions for shape-preserving interpolation. We also develop such methods, which allows us to obtain general conditions for a spline and its derivative to be positive. We prove that, for a strictly positive function (or a function whose derivative is positive), it is possible to find an interpolant of the same sign as the initial function (respectively, its derivative) by thickening the mesh.

AB - We consider the problem on shape-preserving interpolation by classical cubic splines. Namely, we consider conditions guaranteeing that, for a positive function (or a function whose kth derivative is positive), the cubic spline (respectively, its kth derivative) is positive. We present a survey of known results, completely describe the cases in which boundary conditions are formulated in terms of the first derivative, and obtain similar results for the second derivative. We discuss in detail mathematical methods for obtaining sufficient conditions for shape-preserving interpolation. We also develop such methods, which allows us to obtain general conditions for a spline and its derivative to be positive. We prove that, for a strictly positive function (or a function whose derivative is positive), it is possible to find an interpolant of the same sign as the initial function (respectively, its derivative) by thickening the mesh.

KW - convexity

KW - cubic spline

KW - monotonicity

KW - shape-preserving interpolation

UR - http://www.scopus.com/inward/record.url?scp=85076339086&partnerID=8YFLogxK

U2 - 10.3103/S1055134419040011

DO - 10.3103/S1055134419040011

M3 - Article

AN - SCOPUS:85076339086

VL - 29

SP - 231

EP - 262

JO - Siberian Advances in Mathematics

JF - Siberian Advances in Mathematics

SN - 1055-1344

IS - 4

ER -

ID: 22998543