COMPUTER SCIENCE AND ENGINEERING
DATA STRUCTURES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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linear
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exponential
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constant
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none of the mentioned
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Detailed explanation-1: -Explanation: It is O(n), therefore complexity will be linear.
Detailed explanation-2: -Constant Time Complexity: O(1) When an algorithm has constant time with order O (1) and is independent of the input size n, it is said to have constant time with order O (1).
Detailed explanation-3: -Linear Time: O(n) You get linear time complexity when the running time of an algorithm increases linearly with the size of the input. This means that when a function has an iteration that iterates over an input size of n, it is said to have a time complexity of order O(n).
Detailed explanation-4: -Big O Notation is a tool used to describe the time complexity of algorithms. It calculates the time taken to run an algorithm as the input grows. In other words, it calculates the worst-case time complexity of an algorithm. Big O Notation in Data Structure describes the upper bound of an algorithm’s runtime.
Detailed explanation-5: -Linear search makes n/2 comparisons on an average where n is the number of elements. At the most, linear search takes n comparisons. So, overall complexity in the worst case of linear search algorithm is O(n).