Инд. авторы:	Kvasov B.I.
Заглавие:	Monotone and convex interpolation by weighted quadratic splines
Библ. ссылка:	Kvasov B.I. Monotone and convex interpolation by weighted quadratic splines // Advances in Computational Mathematics. - 2014. - Vol.40. - Iss. 1. - P.91-116. - ISSN 1019-7168. - EISSN 1572-9044.
Внешние системы:	DOI: 10.1007/s10444-013-9300-9; SCOPUS: 2-s2.0-84896319799; WoS: 000330718300005;
Реферат:	eng: In this paper we discuss the design of algorithms for interpolating discrete data by using weighted C (1) quadratic splines in such a way that the monotonicity and convexity of the data are preserved. The analysis culminates in two algorithms with automatic selection of the shape control parameters: one to preserve the data monotonicity and other to retain the data convexity. Weighted C (1) quadratic B-splines and control point approximation are also considered.
Ключевые слова:	Control point approximation; Weighted B-splines; Adaptive choice of shape control parameters; Weighted C-1 quadratic splines; Monotone and convex interpolation;
Издано:	2014
Физ. характеристика:	с.91-116