Q. An algorithm is made up of 2 modules Ml and M2. If order of M1 is f(n) and M2 is g(n) then the order of the algorithm is

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Q. The order of an algorithm that finds whether a given Boolean function of 'n' variables, produces a 1 is

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Q. The running time of an algorithm is given by T(n) = T(n - 1) + T(n - 2) - T(n - 3), if n > 3 n, otherwise.

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Q. A text is made up of the characters a, b, c, d, e each occurring with the probability .12, .4, .15, .08 and .25 respectively. The optimal coding technique will have the average length of

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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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