The primal-dual Newton step is an iterative update used in primal-dual interior point methods to solve optimization problems with both primal and dual variables. It combines the gradient information from both the primal and dual formulations, allowing for simultaneous improvements in the feasible regions of both the primal and dual solutions. This approach is essential for finding optimal solutions efficiently while maintaining feasibility throughout the optimization process.
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