👉 Interpolating is a process in mathematics and computer science where two sets of data are compared to produce an estimate or approximation. It involves converting one set into another by applying mathematical functions, such as linear interpolation, cubic splines, or even more complex algorithms like polynomial regression. Interpolation allows for the creation of new data points that are closer to the original data than direct values can be. In contrast to direct interpolation where we apply a function directly on each point, interpolating involves transforming one set
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What is the definition of Interpolary? 🙋
👉 Interpolary is a mathematical concept used in computer graphics and engineering. It refers to a method of approximating a function by its values at a set of points, known as control points. In simpler terms, it involves finding a linear combination of control points that best fits the curve or surface within a specified range. This process helps in creating smooth curves and surfaces in 3D graphics, especially when dealing with complex geometries like circles, lines, and planes. Interpolary is particularly useful
