Primal-dual methods are optimization techniques that simultaneously consider both the primal problem and its corresponding dual problem. These methods are particularly useful in inequality constrained optimization, where constraints can complicate the solution process. By working with both the primal and dual formulations, these methods leverage the relationships between them to find optimal solutions more efficiently.
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