The short-step method is an optimization technique used in path-following algorithms to find solutions to nonlinear programming problems. It focuses on taking smaller steps towards the optimal solution along a trajectory defined by the constraints of the problem, helping maintain feasibility while ensuring convergence. This approach is particularly useful in navigating the feasible region of the optimization problem without overshooting the solution.
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