Centering direction is a vector that indicates the path along which an optimization algorithm moves towards the center of the feasible region in the context of interior point methods. This concept is crucial for ensuring that iterates remain within the feasible region while simultaneously approaching optimal solutions. By following the centering direction, the algorithm maintains a balance between optimizing the objective function and staying within constraints.
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