Iteration complexity refers to the number of iterations or steps required by an optimization algorithm to reach a solution that is deemed satisfactory, usually within a specified tolerance level. This concept is crucial in understanding the efficiency and performance of various optimization methods, as it highlights how quickly an algorithm converges to an optimal solution while considering factors like the problem's dimensions and structure.
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