Iterative refinement is a process that improves an initial solution through repeated adjustments, aiming to enhance accuracy and convergence towards the desired result. This method leverages previously obtained solutions to guide future iterations, making it efficient for problems where direct solutions may be difficult or computationally expensive. It's particularly useful in approximating functions or solving optimization problems, ensuring that each step gets closer to an optimal or more precise outcome.
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