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Time Complexity - Is O log n faster than O n?
Answer
Typically, O(log n) is quicker than O(n) particularly when dealing with large data sets (n). The reason behind this is that the growth rate of logarithmic time complexity is significantly slower compared to linear time complexity. Therefore, as the input size (n) expands, the disparity in performance between O(log n) and O(n) becomes increasingly noticeable.
