Q. The time complexity of an algorithm T(n), where n is the input size, is given by T( n) = T( n - 1) + 1/n if n > 1 The order of this algorithm is

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Q. The concept of order (Big O) is important because

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Q. Which of the following sorting algorithms does not have a worst case running time of O(n2)?

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Q. Using the standard algorithm, what is the time required to determine that a number n is prime ?

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Q. Let m, n be positive integers. Define Q (m, n) as Q (m, n) = 0, if m>n Then Q (m, 3) is (a div b, gives the quotient when a is divided by b)

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Q. The worst case occur in quick sort when

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Q. What does it mean when we say that an algorithm X is asymptotically more efficient than Y?

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Q. The complexity of Fibonacci series is

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Q. The worst case complexity for insertion sort is

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Q. The worst case complexity of quick sort is

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Q. To measure Time complexity of an algorithm Big O notation is used which:

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Q. If for an algorithm time complexity is given by O(1) then complexity of it is:

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Q. If for an algorithm time complexity is given by O(log2n) then complexity will:

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Q. If for an algorithm time complexity is given by O(n) then complexity of it is:

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Q. If for an algorithm time complexity is given by O(n²) then complexity will:

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Q. If for an algorithm time complexity is given by O((3/2)ⁿ) then complexity will:

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Q. The time complexity of binary search is given by:

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Q. The time complexity of linear search is given by:

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Q. Time complexity of binary search algorithm is constant.

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Q. Which is the best data structure for round robin algorithm for CPU scheduling?

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