splineinterpoláció
Spline interpolation is a mathematical technique used to construct a piecewise polynomial function that passes through a given set of data points. Unlike global polynomial interpolation, which fits a single polynomial to all points, spline interpolation divides the data into smaller intervals and fits a separate, simpler polynomial to each interval. These individual polynomials are then joined together smoothly at the data points, which are called "knots."
The key advantage of spline interpolation is its ability to avoid the oscillations that can plague high-degree
The process typically involves setting up a system of equations based on the data points and the