Q. Which of the following case does not exist in complexity theory

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Q. The complexity of the average case of an algorithm is

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Q. The complexity of linear search algorithm is

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Q. The complexity of Binary search algorithm is

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Q. The complexity of Bubble sort algorithm is

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Q. The complexity of merge sort algorithm is

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Q. Let A be an array of 31 numbers consisting of a sequence of 0’s followed by a sequence of 1’s. The problem is to find the smallest index i such that A[i] is 1 by probing the minimum number of locations in A. The worst case number of probes performed by an optimal algorithm is________.

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Q. The complexity of multiplying two matrices of order m*n and n*p is

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Q. Merging 4 sorted files containing 50, 10, 25 and 15 records will take____time.

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Q. An algorithm is made up of two independent time complexities f (n) and g (n). Then the complexities of the algorithm is in the order of

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Q. Ackerman’s function is defined on the non-negative integers as follows
a (m,n) = n+1 if m=0
= a (m-1, 1) if m ≠ 0, n=0
= a (m-1, a(m, n-1)) if m ≠ 0, n ≠ 0
The value of a (1, 3) is

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Q. What is a set of steps for carrying out a specific task called?

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Q. A real world example of an algorithm would be a___________.

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Q. Who should know about the basic algorithmic toolbox structures that allow efficient organization and retrieval of data frequently used algorithms and basic techniques for modeling, understanding and solving algorithmic problems?

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Q. Algorithms are at the heart of every non-trivial computer application and also a modern and active area of ____________.

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Q. Operations performed on scalar quantities are termed simple, while operations on vector data normally termed as_______.

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Q. An algorithm may have __________‘inputs’ quantities.

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Q. ___________ refers to a finite set of steps, which, when followed, solves a particular problem.

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Q. The two main resources that we consider for an algorithm are__________.

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Q. Space complexity of an algorithm is the maximum amount of _______ required by it during execution.

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