Constrained optimization is the process of finding the best solution to a problem within a defined set of restrictions or limitations. These constraints can take various forms, such as equality or inequality conditions that must be satisfied. Understanding constrained optimization is crucial because it allows us to identify optimal solutions while respecting practical limitations, which often appear in real-world scenarios like resource allocation, scheduling, and portfolio optimization.
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