O(N) where N is the number of elements in the array you are searching.So it has linear complexity.
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.
If the array is unsorted, the complexity is O(n) for the worst case. Otherwise O(log n) using binary search.
time complexity is 2^57..and space complexity is 2^(n+1).
O(h)
O(N) where N is the number of elements in the array you are searching.So it has linear complexity.
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.
O(# vertices + # edges)
If the array is unsorted, the complexity is O(n) for the worst case. Otherwise O(log n) using binary search.
Deezzzz Nutzzzz
time complexity is 2^57..and space complexity is 2^(n+1).
O(h)
There is no correct answer. It is completely random. You know, it's not random each time, if you search on the internet for answers you might get one.
In a slightly different way each time (apex)
Because in any type of search the element can be found at the last position of your array so time complexity of the program is increased..so if array when sorted easily finds the element within less time complexity than before..
The complexity of binary search tree : Search , Insertion and Deletion is O(h) . and the Height can be of O(n) ( if the tree is a skew tree). For Balanced Binary Trees , the Order is O(log n).
the compexity of linear search in worst case is f(n) = n+1