How do you use splines to model complex and nonlinear phenomena?
Splines are powerful tools for modeling complex and nonlinear phenomena, such as curves, surfaces, and images, in numerical analysis. They are functions that can be constructed from simpler pieces, such as polynomials, that fit together smoothly and accurately. In this article, you will learn how to use splines to approximate and interpolate data, how to choose the best type and degree of splines, and how to deal with some common challenges and applications of splines.