A. Gupta, R. Gross, et al.
SPIE Advances in Semiconductors and Superconductors 1990
In many applications, interpolation of experimental data exhibiting some geometric property such as nonnegativity, monotonicity or convexity is unacceptable unless the interpolant reflects these characteristics. This paper identifies admissible slopes at data points of various C1 interpolants which ensure a desirable shape. We discuss this question, in turn for the following function classes commonly used for shape preserving interpolations: monotone polynomials, C1 monotone piecewise polynomials, convex polynomials, parametric cubic curves and rational functions. © 1987 Springer-Verlag.
A. Gupta, R. Gross, et al.
SPIE Advances in Semiconductors and Superconductors 1990
Jonathan Ashley, Brian Marcus, et al.
Ergodic Theory and Dynamical Systems
John R. Kender, Rick Kjeldsen
IEEE Transactions on Pattern Analysis and Machine Intelligence
Leo Liberti, James Ostrowski
Journal of Global Optimization