Inverse quadratic interpolation is a numerical method used to find the roots of a function or to estimate function values at certain points. It is a generalization of linear interpolation and serves as a technique to improve convergence speed when you have data points and want to approximate a target value. ### Concept In inverse quadratic interpolation, instead of using values of a function to estimate its values, we use the known values of the function to establish a model that estimates where a particular function value occurs (i.e.
Articles by others on the same topic
There are currently no matching articles.