Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
441245 | Computer Aided Geometric Design | 2011 | 15 Pages |
Abstract
A general method is given for constructing sets of sufficient linear conditions that ensure convexity of a polynomial in Bernstein–Bézier form on a triangle. Using the linear conditions, computational methods based on macro-element spline spaces are developed to construct convexity preserving splines over triangulations that interpolate or approximate given scattered data.
► We give conditions for the convexity of a polynomial in terms of its B-coefficients. ► The derivation is based on blossoming. ► Our conditions include all previously known ones as special cases. ► We illustrate the use of the conditions to construct convex spline interpolants.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Graphics and Computer-Aided Design
Authors
Larry L. Schumaker, Hendrik Speleers,