An algorithm iterates 10 times for an input of size n. What is the best-case time complexity?Group of answer choicesO(n)O(1)O(n^10)O(log n)

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

Consider a situation where you don't have function to calculate power and you need to calculate x^n where x can be any number and n is a positive integer. What can be the best possible time complexity of your power function?Group of answer choicesO(LogLogN)O(LogN)O(NlogN)O(N)

What is the time complexity of the following code fragment?for(i=1; i<n; i= i*2)          a[i]=0; Group of answer choicesO(log n)O(n^2)O(n/2)O(n^(1/2))

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.

What is the time complexity of searching for an element in a singly linked list?Group of answer choicesO(n log n)O(log n)O(n)O(1)