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Top 10 Facts of Linear Search: Crack DSA Interview
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- Simple Algorithm: Linear Search is one of the most straightforward search algorithms. It sequentially checks each element of an array until the target value is found or the array ends.
2. Unsorted Data: Linear Search works on both sorted and unsorted arrays, making it versatile for a wide range of problems.
3. Time Complexity: The time complexity of Linear Search is **O(n)**, meaning in the worst-case scenario, it may need to inspect every element in the array.
4. No Pre-processing Required: Unlike other search algorithms (such as Binary Search), Linear Search doesn’t require any pre-sorting or additional steps, which can save time for small datasets.
5. Worst Case: The worst-case scenario for Linear Search occurs when the element is at the end of the array or not present at all, requiring the algorithm to search through every element.
6. Space Complexity: Linear Search has a space complexity of **O(1)**, as it doesn’t use any extra memory aside from the input array.
7. Practical Use Cases: It is commonly used in smaller datasets where the overhead of more complex search algorithms isn’t justified. For example, searching for an item in a short…
