Iteration count refers to the number of times an algorithm or method is executed in order to reach a solution or achieve convergence. In computational mathematics, it plays a critical role in assessing the efficiency and performance of algorithms, especially those used for solving systems of linear equations or optimization problems. A lower iteration count generally indicates a more efficient method, while a higher count may suggest that the algorithm is struggling to find a solution or that additional strategies may be needed to improve convergence.
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