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Shape-Preservation Conditions for Cubic Spline Interpolation. / Bogdanov, V. V.; Volkov, Yu S.
в: Siberian Advances in Mathematics, Том 29, № 4, 01.10.2019, стр. 231-262.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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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