The term o(n log n) describes a specific growth rate of an algorithm's time complexity, indicating that the time taken by the algorithm increases at a rate that is slightly less than proportional to n log n. This complexity is commonly seen in efficient sorting algorithms, suggesting they are faster than quadratic time complexities while still maintaining good performance as the input size grows. Understanding this term is crucial for analyzing the efficiency and scalability of various sorting methods and their applications in computer science.
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