COMPUTER SCIENCE AND ENGINEERING
DATA STRUCTURES
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]


linear


exponential


constant


none of the mentioned

Detailed explanation1: Explanation: It is O(n), therefore complexity will be linear.
Detailed explanation2: 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 explanation3: 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 explanation4: 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 worstcase time complexity of an algorithm. Big O Notation in Data Structure describes the upper bound of an algorithmâ€™s runtime.
Detailed explanation5: 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).