Worst-case complexity refers to the maximum amount of time or resources that an algorithm will require to complete its task, given the most challenging input of a particular size. This concept is essential in evaluating the efficiency and feasibility of algorithms, particularly when analyzing their performance under adverse conditions. Understanding worst-case complexity helps in distinguishing between different algorithms and their suitability for specific problems, especially in the context of theoretical discussions about P vs NP and the limitations posed by natural proofs.
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