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 ⩽ n − k 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.
Cite
CITATION STYLE
Costantini, P. (1986). On monotone and convex spline interpolation. Mathematics of Computation, 46(173), 203–214. https://doi.org/10.1090/s0025-5718-1986-0815841-7
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.