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O(log n)
What does O(1) time complexity mean?
worst case
What does O(n) time complexity mean?
Time complexity
Worst-case time complexity
The
complexity of an algorithm describes the total amount of time it takes to run.
What does it mean when an algorithm has a time complexity of O(1)?
The
case complexity is important because it guarantees that the algorithm will not perform worse than a certain threshold.
The best case complexity of an algorithm refers to the
amount of time or space it can take to execute.
space complexity
What does O(log n) time complexity mean?
The
case complexity gives us an idea of how the algorithm performs on inputs that are representative of real-world scenarios.
The best case complexity is often used to describe the best possible
of an algorithm under certain conditions.
best case
What does it mean when an algorithm has a space complexity of O(n)?
In the context of complexity analysis, the term
case refers to the scenario in which the algorithm performs exceptionally well.
Which of the following is the best time complexity?
The average case complexity is useful for understanding how the algorithm is likely to perform on
inputs.
The
complexity of an algorithm describes the total amount of memory space it requires.