Explain why binary search is more efficient than linear search for large datasets.
- Binary search always finds the element in the first comparison
- Binary search can only be used with small datasets
- Binary search divides the search space in half at each step, reducing the time complexity to O(log n)
- Linear search has a time complexity of O(n^2)
Binary search is more efficient for large datasets because it divides the search space in half at each step, resulting in a time complexity of O(log n), which is significantly faster than linear search (O(n)).
Loading...
Related Quiz
- You are tasked with finding a specific word in a large document. Discuss whether linear search would be an appropriate approach and propose alternative strategies if necessary.
- Breadth-First Search (BFS) explores nodes level by level, starting from the _______ and moving to their _______.
- Consider a scenario where you have a large network of interconnected nodes representing cities in a transportation system. You need to find the shortest paths between all pairs of cities. Discuss the most efficient algorithm to use in this situation and justify your choice.
- How can you measure the effectiveness of a string compression algorithm?
- Explain the basic concept of Breadth-First Search (BFS).