In algorithm analysis, ____ denotes the upper bound of the running time of an algorithm.
- Big-O
- O-notation
- Θ-notation
- Ω-notation
In algorithm analysis, Big-O notation (often represented as O-notation) denotes the upper bound of the running time of an algorithm. It provides an upper limit on how the algorithm's runtime scales with input size.
Loading...
Related Quiz
- When you execute a Python script, what value does the name attribute hold by default for that script?
- A ____ is a data structure that stores elements in a linear sequence but allows additions and removals only at the start.
- What is the primary purpose of using metaclasses in Python?
- While iterating through data entries, you want to avoid processing entries labeled as 'SKIP.' Instead of terminating the loop upon encountering such entries, what should you use to continue to the next entry?
- How can you merge two DataFrames in Pandas based on a common column, ensuring that only the matching rows are included in the result?