Iteration complexity refers to the number of iterations that an optimization algorithm requires to converge to a solution within a specified tolerance. This concept is crucial in evaluating the efficiency of algorithms, particularly in interior point methods for nonlinear programming, where the performance can vary significantly depending on the problem structure and the specific algorithm used. Understanding iteration complexity helps in assessing how quickly an algorithm can find an optimal solution and in comparing different optimization techniques.
congrats on reading the definition of Iteration Complexity. now let's actually learn it.