Step size selection refers to the process of determining the appropriate magnitude of the steps taken in an optimization algorithm during each iteration. This selection is crucial because it influences both the convergence speed and stability of the optimization process, impacting how quickly and effectively a solution is found. An optimal step size can lead to faster convergence, while a poorly chosen step size can cause oscillations or divergence from the desired solution.
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