The complexity of an algorithm describes the total amount of memory space it requires.
O(n)
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)
In the context of complexity analysis, the term case refers to the scenario in which the algorithm performs exceptionally well.
In the context of algorithm complexity, what does the term 'best-case' refer to?
notation provides a way to express the upper bound of an algorithm's time or space complexity in a simple and concise manner.
What does O(1) time complexity mean?
What does O(log n) time complexity mean?
What does it mean when an algorithm has a time complexity of O(1)?
Big O notation
O(log n)
When analyzing the complexity of an algorithm, we often use the notation , which represents an upper bound on the growth rate of the algorithm's time or space requirements.
worst case
Time complexity
average case
The complexity of an algorithm describes the total amount of time it takes to run.
What does it mean when an algorithm has a space complexity of O(n)?
