Multidimensional Interpolation is a mathematical technique used to estimate values at points within a multi-dimensional space based on known data points. It extends the concept of interpolation, which is commonly used in one-dimensional scenarios, to higher dimensions, allowing for more complex data analysis and visualization. This method is particularly useful in fields like computer graphics, geospatial analysis, and scientific computing, where data is often represented in multiple dimensions. By using algorithms such as linear interpolation or spline interpolation, multidimensional interpolation helps create smooth surfaces or functions that approximate the behavior of the underlying data.