interpolatable
Interpolatable describes the property of a dataset, function, or model that allows interpolation—estimating values at points between known samples. In mathematics, an interpolation problem seeks a function f from a chosen class such that f(x_i) = y_i for all i. For a finite set of distinct x_i, there often exists an interpolant of sufficient flexibility, for example a polynomial of degree at most n-1 passing through n points.
Common interpolation methods include polynomial interpolation (Lagrange, Newton forms), spline interpolation (such as cubic splines) which
Interpolation is distinct from extrapolation; interpolants may behave poorly outside the known domain, and high-degree polynomials
Applications span data visualization, numerical simulation, geostatistics, and computer graphics, as well as signal processing and