Data Structures19 sections · 729 units
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Section Recap

What you've learned

You've learned three powerful tree techniques:

1.1. HLD: Decomposes tree into O(logn)O(\log n) heavy chains for path queries

2.2. Centroid Decomposition: Divide-and-conquer with O(logn)O(\log n) levels for distance queries

3.3. Treaps: Randomized BST with split/merge for dynamic sequences

4.4. Euler Tour: Flattens subtrees to ranges for subtree queries

These techniques turn hard tree problems into manageable range queries. Practice combining them, many competition problems require exactly that. You now have a complete toolkit for tree-based data structures. The next step is practice: solve problems, make mistakes, and build intuition.