Lagrange Duality is a fundamental concept in optimization that allows us to transform a constrained optimization problem into a dual problem, which often simplifies the original problem by converting constraints into objectives. This duality provides deep insights into the structure of optimization problems, enabling the derivation of lower bounds and the development of efficient algorithms for solving complex problems.