If an algorithm's time complexity is O(n2 log n), which of the following best describes its efficiency compared to an algorithm with a time complexity of O(n2)?Group of answer choicesIt is less efficient.It is equally efficient.It depends on the specific input data.It is more efficient.

If an algorithm's time complexity is O(n2 log n), which of the following best describes its efficiency compared to an algorithm with a time complexity of O(n2)?

When comparing two algorithms with time complexities O(n) and O(n2), which one is more efficient for large inputs?Group of answer choices

he best-case time complexity of an algorithm is O(1). What does this mean?Group of answer choicesThe algorithm has a linear time complexity.The algorithm takes one unit of time irrespective of the input size.The running time of the algorithm is independent of the input size.The algorithm performs best when the input is sorted.

Which of the following statements is FALSE about Big O notation?Group of answer choicesIt ignores constant factors.It represents the worst-case time complexity.It considers only the dominant/leading term as the input size grows.It can be used to compare the efficiency of different algorithms

Suppose we have algorithms that solve a particular problem that have the following complexities. Which one is most efficient? A. O(n3) B. O(1) C. O(n2) D. O(log2n) E. O(2n)