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Which of the following is the best time complexity?
An algorithm's efficiency can be measured by its
complexity and its space complexity.
What does O(log n) time complexity mean?
In the context of algorithm complexity, what does the term 'best-case' refer to?
Best-case time complexity
O(1)
The best case complexity of an algorithm refers to the
amount of time or space it can take to execute.
The best case complexity is often used to describe the best possible
of an algorithm under certain conditions.
The
case complexity of an algorithm refers to the expected amount of time it takes to execute for inputs of typical size.
O(n^2)
What does it mean when an algorithm has a time complexity of O(1)?
best case
The
complexity of an algorithm describes the total amount of memory space it requires.
What does O(1) time complexity mean?
What does O(n) time complexity mean?
O(log n)
The
complexity of an algorithm describes the total amount of time it takes to run.
In the context of complexity analysis, the term
case refers to the scenario in which the algorithm performs exceptionally well.
space complexity
Worst-case time complexity