An interactive walkthrough that visually demonstrates how linear and binary search algorithms work, step by step. Explore the logic, efficiency, and differences between both methods in real time.
Status: Idle
Steps: 0
Time: 0.00 ms
Status: Idle
Steps: 0
Time: 0.00 ms
Time Complexity: O(n) - In the worst case, it checks every single element in the array. The time taken grows linearly with the number of elements (n).
Space Complexity: O(1) - It requires a constant amount of extra memory, regardless of the array size.
Time Complexity: O(log n) - It halves the search space with each step. This makes it incredibly fast for large, sorted datasets.
Space Complexity: O(1) - Like linear search, it uses a constant amount of extra memory.
Note: Binary Search requires the data to be sorted beforehand. The time for sorting is not included in this comparison.