Remote Access Mathematics of Computation
Green Open Access

Mathematics of Computation

ISSN 1088-6842(online) ISSN 0025-5718(print)



On monotone and convex spline interpolation

Author: Paolo Costantini
Journal: Math. Comp. 46 (1986), 203-214
MSC: Primary 65D05; Secondary 41A05, 41A15
MathSciNet review: 815841
Full-text PDF Free Access

Abstract | References | Similar Articles | Additional Information

Abstract: This paper is concerned with the problem of existence of monotone and/or convex splines, having degree n and order of continuity k, which interpolate to a set of data at the knots. The interpolating splines are obtained by using Bernstein polynomials of suitable continuous piecewise linear functions; they satisfy the inequality $k \leqslant n - k$. The theorems presented here are useful in developing algorithms for the construction of shape-preserving splines interpolating arbitrary sets of data points. Earlier results of McAllister, Passow and Roulier can be deduced from those given in this paper.

References [Enhancements On Off] (What's this?)

Similar Articles

Retrieve articles in Mathematics of Computation with MSC: 65D05, 41A05, 41A15

Retrieve articles in all journals with MSC: 65D05, 41A05, 41A15

Additional Information

Article copyright: © Copyright 1986 American Mathematical Society