Approximation Theory
Optimality refers to the state of achieving the best possible outcome or solution in a given situation, particularly when evaluating the efficiency and effectiveness of algorithms. In the context of geometric problems, it signifies that an algorithm produces results that are as close to the theoretical best as possible, often balancing accuracy with computational feasibility. This concept is crucial in understanding how well approximation algorithms can perform relative to exact solutions.
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