Interpolation of data by smooth non-negative functions
Charles Fefferman, Arie Israel, Garving K. Luli

TL;DR
This paper establishes a finiteness principle for interpolating data with smooth, non-negative functions, advancing understanding of constrained interpolation problems with non-negativity constraints.
Contribution
It introduces a finiteness principle for nonnegative smooth function interpolation, providing a theoretical foundation for constrained interpolation problems.
Findings
Finiteness principle for nonnegative Cm interpolation functions
Potential to understand constrained interpolation problems better
Advances theoretical understanding of non-negativity constraints in interpolation
Abstract
We prove a finiteness principle for interpolation of data by nonnegative Cm functions. Our result raises the hope that one can start to understand constrained interpolation problems in which e.g. the interpolating function F is required to be nonnegative.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
