Strong duality is a concept in optimization that states that, under certain conditions, the optimal values of a primal problem and its dual problem are equal. This means that solving either the primal or dual problem gives the same optimal solution value, allowing for more efficient computational methods in convex optimization scenarios. This relationship highlights the deep connection between primal and dual formulations and is crucial for understanding the efficiency of optimization algorithms.
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