Step length selection refers to the process of determining the appropriate size of the step taken during iterative optimization algorithms, particularly in primal-dual interior point methods. This selection is crucial because it influences the convergence rate and stability of the algorithm, impacting how quickly a solution can be reached and ensuring that the iterates remain within the feasible region defined by the constraints.
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