COMPUTER SCIENCE AND ENGINEERING
DATA STRUCTURES
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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O(n)
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O(log n)
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O(n2)
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O(n log n)
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Detailed explanation-1: -The complexity of linear search is therefore O(n). If the element to be searched lived on the the first memory block then the complexity would be: O(1). The code for a linear search function in JavaScript is shown below. This function returns the position of the item we are looking for in the array.
Detailed explanation-2: -The Big O notation for Linear Search is O(N). The complexity is directly related to the size of the inputs-the algorithm takes an additional step for each additional data element.
Detailed explanation-3: -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).
Detailed explanation-4: -O(n) Worst-case space complexity. O(1) iterative. In computer science, a linear search or sequential search is a method for finding an element within a list. It sequentially checks each element of the list until a match is found or the whole list has been searched.
Detailed explanation-5: -Time Complexity of Linear Search The best-case complexity is O(1) if the element is found in the first iteration of the loop. The worst-case time complexity is O(n), if the search element is found at the end of the array, provided the size of the array is n.