## What is average time complexity of sequential search?

linear O(n)

The time complexity of the sequential search is linear O(n), and the time complexity of binary search(an example of interval search) is O(log n). Also, there are other searching algorithms like exponential search, jump search, etc.

### What is the best case for sequential search?

comparison

The best case for sequential search is that it does one comparison, and matches X right away. In the worst case, sequential search does n comparisons, and either matches the last item in the list or doesn’t match anything. The average case is harder to do.

#### What is the average case complexity of binary search?

Binary search algorithm

Visualization of the binary search algorithm where 7 is the target value | |
---|---|

Class | Search algorithm |

Best-case performance | O(1) |

Average performance | O(log n) |

Worst-case space complexity | O(1) |

**What is the big O of sequential search?**

Big O is the upper bound, it refers to the number of steps it might take in the worst-case scenario. As mentioned before, Big O means “in the order of”, so it really is an approximation.

**What is the average number of comparisons in a sequential search?**

The average number of comparisons in a sequential search is (N+1)/2 where N is the size of the array. If the element is in the 1st position, the number of comparisons will be 1 and if the element is in the last position, the number of comparisons will be N.

## What is the order of sequential search?

The sequential search (sometimes called a linear search) is the simplest type of search, it is used when a list of integers is not in any order. It examines the first element in the list and then examines each “sequential” element in the list until a match is found.

### What is the big O of depth first search?

Complexity of Depth-first Search Depth-first search visits every vertex once and checks every edge in the graph once. Therefore, DFS complexity is O ( V + E ) O(V + E) O(V+E).