What are some practical use cases for binary search trees?
Binary search trees (BSTs) are used in various applications, such as databases for efficient data retrieval, in-memory sorting, and implementing associative arrays.
Can you explain how they are used in databases?
In databases, BSTs help in indexing data, allowing for quick search, insert, and delete operations, which improves overall performance.
What about in-memory sorting? How does that work?
In-memory sorting with BSTs involves inserting elements into the tree, which automatically sorts them. Traversing the tree in-order retrieves the elements in sorted order.
Are there any limitations to using binary search trees?
Yes, BSTs can become unbalanced, leading to degraded performance. Self-balancing trees like AVL or Red-Black trees can mitigate this issue.
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