Superlinear convergence refers to the rate at which an iterative method approaches its solution faster than a linear rate, often characterized by the error reduction factor improving significantly with each iteration. It is a desirable property in optimization algorithms, indicating that the solution is being approached more efficiently as iterations progress.
