What are the differences between binary search and other algorithms?
Binary search is an efficient algorithm for finding an item from a sorted list of items. It works by repeatedly dividing the search interval in half.
How does binary search compare to linear search?
Binary search is much faster than linear search, especially for large datasets, as it reduces the search space by half with each step.
Are there any scenarios where linear search is better?
Yes, linear search is better for small or unsorted datasets where the overhead of sorting for binary search isn't justified.
What about other algorithms like interpolation search?
Interpolation search can be faster than binary search for uniformly distributed data, as it estimates the position of the target.
Can you give me an example of when to use each algorithm?
Use binary search for large, sorted datasets, linear search for small or unsorted datasets, and interpolation search for uniformly distributed data.
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