Multivariate Interpolation

Multivariate interpolation is a mathematical method used to estimate unknown values of a function that depends on multiple variables, based on known data points. Imagine you have measurements of temperature, humidity, and wind speed at certain locations, and you want to predict these values at a nearby point where you don't have data. Multivariate interpolation uses the existing data to create a smooth, continuous surface across all variables, allowing you to make informed predictions at new points. It’s widely used in fields like weather forecasting, engineering, and environmental modeling to analyze complex systems with multiple changing factors.