How do binary trees differ from self-balancing trees?

How do binary trees differ from self-balancing trees?

Binary trees are a basic tree structure where each node has at most two children, while self-balancing trees maintain their height to ensure efficient operations.

What are the advantages of using self-balancing trees?

Self-balancing trees, like AVL or Red-Black trees, ensure O(log n) time complexity for insertions, deletions, and lookups, making them more efficient for large datasets.

Can you give examples of self-balancing trees?

Sure! Common examples include AVL trees, Red-Black trees, and Splay trees, each with unique balancing mechanisms.

When should I use a binary tree instead of a self-balancing tree?

Use binary trees for simpler applications or when memory overhead is a concern. They are easier to implement but less efficient for large datasets.