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Binary Search Iterative Method Video Lecture | Algorithms - Computer Science Engineering (CSE)
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FAQs on Binary Search Iterative Method Video Lecture - Algorithms - Computer Science Engineering (CSE)
| 1. What is the binary search iterative method? |  |
| 2. What are the time and space complexities of the binary search iterative method? | |
Ans.The time complexity of the binary search iterative method is O(log n), where n is the number of elements in the array. This is because the search interval is halved with each iteration. The space complexity is O(1) since it uses a constant amount of space regardless of the size of the input array.
| 3. How do you implement binary search iteratively in a programming language? | |
Ans.To implement binary search iteratively, you typically initialize two pointers (low and high) to represent the start and end of the array. Then, use a loop to check the middle element. If it matches the target, return the index; if it's less, move the low pointer up; if it's more, move the high pointer down. Continue this until the target is found or the pointers cross.
| 4. What types of data structures can binary search be applied to? | |
Ans.Binary search can be applied to any sorted data structure, such as arrays and lists. However, it cannot be used on unsorted data structures because the algorithm relies on the order of elements to eliminate half of the search space with each iteration.
| 5. What are the advantages of using the iterative method over the recursive method for binary search? | |
Ans.The iterative method for binary search generally has lower memory overhead compared to the recursive method, as it does not involve the overhead of multiple function calls and stack space. This makes it more efficient in terms of space, especially for large datasets. Additionally, the iterative approach can be easier to understand and debug for some programmers.
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