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 time it takes to run.
What does O(1) time complexity mean?
Time complexity
What does O(n^2) time complexity mean?
notation provides a way to express the upper bound of an algorithm's time or space complexity in a simple and concise manner.
space complexity
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.
The best case complexity is often used to describe the best possible of an algorithm under certain conditions.
In the context of algorithm complexity, what does the term 'best-case' refer to?
What does it mean when an algorithm has a space complexity of O(n)?
The case complexity is important because it guarantees that the algorithm will not perform worse than a certain threshold.
In the context of complexity analysis, the term case refers to the scenario in which the algorithm performs exceptionally well.
O(log n)
An algorithm's efficiency can be measured by its complexity and its space complexity.
Worst-case time complexity
Big O notation
Best-case time complexity
Which of the following is the best time complexity?
