A convergence heuristic is a mental shortcut used in problem-solving and optimization, where a solution is refined by repeatedly moving toward a target state. It guides algorithms like gradient descent in machine learning and helps engineers, data scientists, and researchers efficiently narrow down optimal outcomes. Benefits include faster decision-making and improved accuracy in complex systems.
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