This represents logarithmic time complexity, which means that the execution time increases at a slower rate as the input size increases. Examples include binary search and some tree operations.
This represents logarithmic time complexity, which means that the execution time increases at a slower rate as the input size increases. Examples include binary search and some tree operations.