Worst-case analysis is a method used to evaluate the performance of algorithms by examining the maximum possible resource consumption (like time or space) under the most unfavorable conditions. This approach helps in understanding the upper bounds of algorithm efficiency, allowing developers to gauge how an algorithm might behave in less-than-ideal situations. It is particularly important in computational complexity, as it provides insights into the efficiency and scalability of geometric algorithms when faced with extreme input scenarios.
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