AVL Tree vs Red-Black Tree Visualization
Both AVL Trees and Red-Black Trees keep themselves balanced so that searching stays fast. The difference is in how strict they are — AVL Trees stay more tightly balanced, which makes lookups slightly faster but requires more work when adding or removing values. Red-Black Trees are a bit more relaxed, so insertions and deletions are quicker. Try inserting the same values into both and see how each one balances itself.
Common Interview Questions
Summarize the primary balance criteria of AVL and Red-Black Trees.
AVL enforces strict height balance (height difference between subtrees ≤ 1). Red-Black enforces color rules ensuring the longest path from root to leaf is no more than twice the length of the shortest path.
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