The duality gap refers to the difference between the optimal values of the primal and dual problems in optimization. In many cases, a smaller duality gap indicates that the primal and dual solutions are close to each other, which is a desirable property in optimization. Understanding this gap is essential for analyzing the performance of algorithms, especially in methods like interior point techniques, where convergence to optimality can be evaluated through the behavior of this gap.
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