Constrained optimization is a mathematical approach used to find the best solution to a problem within a set of restrictions or constraints. This method focuses on optimizing an objective function while adhering to various limits, such as resource availability or specific requirements. Techniques like penalty methods, KKT conditions, and real-world applications illustrate how constrained optimization can effectively solve complex problems involving limits.
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