Lagrangian duality is a fundamental concept in optimization that involves creating a dual problem from a primal problem, allowing for the analysis of their relationship. It enables the exploration of how the solution to the dual problem can provide insights into the primal problem, particularly in convex optimization scenarios where strong duality often holds. This connection can help simplify complex optimization problems by leveraging properties of the dual formulation.
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