👉 Lookup math, also known as lookup tables or interpolation tables, is a method used to approximate the value of a function based on a precomputed set of known values. Instead of directly calculating the function's output for every input (which can be computationally expensive or even impossible), lookup math stores a series of calculated values for specific input ranges. When an input needs to be found, the function is searched within these precomputed tables, and the closest match or interpolation between values is used to estimate the output. This technique is particularly useful for smooth functions where analytical solutions are difficult to derive, but it can be less efficient than direct computation for simple inputs due to the overhead of table lookup and interpolation.
