The Convexity Theorem refers to a fundamental principle in optimization that establishes conditions under which the solution to an optimization problem is guaranteed to be optimal if the objective function and feasible region are both convex. This theorem highlights the significance of convexity in determining the efficiency and reliability of optimization processes, as it simplifies finding solutions by ensuring that any local minimum is also a global minimum.
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