The rate of convergence refers to the speed at which a numerical method approaches its solution as the number of iterations increases. In the context of iterative methods like power and inverse power methods, it is crucial because it determines how quickly an approximation converges to the actual eigenvalue or eigenvector of a matrix, affecting computational efficiency and accuracy.
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