How does Heavy-Light Decomposition help in efficiently solving Lowest Common Ancestor (LCA) queries?
Heavy-Light Decomposition reduces the LCA problem by using the Disjoint Set Union (DSU) data structure to track connected components.
Thatâ€™s incorrect. While DSU is useful in other problems, LCA queries are typically solved using techniques like Binary Lifting, not DSU.
Can you explain the process of using Binary Lifting for LCA queries after Heavy-Light Decomposition?