Path-following methods are iterative algorithms used in nonlinear optimization to find solutions to problems with inequality constraints by tracing a path in the solution space. These methods maintain a balance between the objective function and the constraints, progressively moving towards the optimal solution while ensuring that the constraints are satisfied. They are particularly useful in dealing with complex optimization landscapes, where traditional approaches may struggle to find feasible solutions.
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