It would take a long time
There no advantages to linear search other than searching for the first (or last) nodes. Linear search takes linear time with an average O(n/2) for each search.
Linear search, also known as sequential search, is a process that checks every element in the list sequentially until the desired element is found. The computational complexity for linear search is O(n), making it generally much less efficient than binary search (O(log n)). But when list items can be arranged in order from greatest to least and the probabilities appear as geometric distribution (f (x)=(1-p) x-1p, x=1,2),then linear search can have the potential to be notably faster than binary search.
It's called "Linear Search". If the list is sorted, then it is possible to perform more advanced searches like binary search. If the list isn't sorted, then you can either sort the list first and then binary search or simply use a linear search. Linear search is typically a brute force solution when the data isn't "planned" or if the data is stored in a linked list where random access of the values in the list is slow.
Sequential search of an object with in an array of objects is called as linear search.
The linear search algorithm is a special case of the brute force search.
Running time of a linear search is O(n)
the compexity of linear search in worst case is f(n) = n+1
1)in linear search it needs more space and time complexity. 2) in linear search if the key element is the last element and the search is from first element that is a worst case, or if the key element is the first element and the search is from last element then also is the worst case.
The linear search algorithm is a special case of the brute force search.
Linear search is necessary when we must search unordered sets. Linear search times across huge sets can be improved significantly by dividing the set amongst two or more threads that can execute on independent CPU cores.
Linear search
Linear search takes linear time with a worst case of O(n) for n items, and an average of O(n/2). Binary search takes logarithmic time, with a worst and average case of O(n log n). Binary search is therefore faster on average.