Example: The table below shows the number of strange particles present in a scientific experiment at various points in time. ![]() Furthermore, it acts as a reference for the mathematical background of the cubic spline interpolation tool on which is introduced at the end of the article. The third method just uses interpolation capabilities in Matlab, it doesn’t calculate any coefficient, but can solve interpolation values, and can even extrapolate to a certain degree. This article explains how the computation works mathematically.Īfter an introduction, it defines the properties of a cubic spline, then it lists different boundary conditions (including visualizations), and provides a sample calculation. These new points are function values of an interpolation function (referred to as spline), which itself consists of multiple cubic piecewise polynomials. ![]() Cubic spline interpolation is a mathematical method commonly used to construct new points within the boundaries of a set of known points.
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