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.
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.
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.
Running time of a linear search is O(n)
the compexity of linear search in worst case is f(n) = n+1
no.
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
A linear search is called a sequential search because a sequential search takes linear time and therefore has a worst-case time-complexity of O(n) for a data sequence of n elements. Although there are more efficient search algorithms than linear search, not all data containers are ideally suited to them. For example, although a binary search can be performed in quadratic time (O(log n)) when the data container is in sorted order, we can only achieve maximum efficiency when the data container also supports constant-time random-access. Arrays and vectors do support constant-time random-access, but if the container is not sorted then we must resort to the less-efficient linear search. Linked lists do not support constant-time random-access thus a linear search would be more efficient even if the list were in sorted order.
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.