The Euler Tour Technique is a powerful method used in graph theory, particularly for solving problems related to tree data structures. This technique involves performing a traversal of a tree (or graph) in a way that each edge is visited exactly twice: once when going down to a child and once when returning to a parent. By recording the nodes visited during this traversal, we can create a sequence known as the Euler tour, which enables us to answer various queries efficiently, such as finding the lowest common ancestor (LCA) or calculating subtree sums.
The key steps in the Euler Tour Technique include:
Overall, the Euler Tour Technique transforms tree-related problems into manageable array problems, allowing for efficient data processing and retrieval.
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