A linear search scans one item at a time, without jumping to any item .
- The worst case complexity is O(n), sometimes known an O(n) search
- Time taken to search elements keep increasing as the number of elements are increased.
A binary search however, cut down your search to half as soon as you find middle of a sorted list.
- The middle element is looked to check if it is greater than or less than the value to be searched.
- Accordingly, search is done to either half of the given list
- Input data needs to be sorted in Binary Search and not in Linear Search
- Linear search does the sequential access whereas Binary search access data randomly.
- Time complexity of linear search -O(n) , Binary search has time complexity O(log n).
- Linear search performs equality comparisons and Binary search performs ordering comparisons
Let us look at an example to compare the two:
Linear Search to find the element “J” in a given sorted list from A-X
Binary Search to find the element “J” in a given sorted list from A-X
You may also see
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- Binary Search
- Second minimum element using minimum comparisons
- Linear Search
- Interpolation search vs Binary search
- Jump Search
- Largest gap in an array
- Maximum product quadruple (sub-sequence of size 4) in array
- Closest product pair in an array
- Minimum value of “max + min” in a subarray
- Number of positions with Same address in row major and column major order