Stopping criteria refer to the set of rules or conditions that determine when an iterative optimization algorithm should terminate its search for a solution. These criteria are crucial for ensuring that the algorithm does not run indefinitely, allowing for efficient convergence to an optimal solution while balancing computational resources. By defining appropriate stopping criteria, one can prevent unnecessary computations and ensure the quality of the final results.
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