Data Structures19 sections · 729 units
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Sparse Table vs Others

Choosing the right tool

| Structure | Preprocess | Query | Update | Space | |-----------|------------|-------|--------|-------| | Sparse Table | O(nlogn)O(n \log n) | O(1)O(1) | N/A | O(nlogn)O(n \log n) | | Segment Tree | O(n)O(n) | O(logn)O(\log n) | O(logn)O(\log n) | O(n)O(n) | | BIT | O(n)O(n) | O(logn)O(\log n) | O(logn)O(\log n) | O(n)O(n) | Use Sparse Table when:

  • Array is static (no updates)
  • Many queries (the O(1)O(1) query pays off)
  • Operation is idempotent (min, max, gcd, AND, OR)

Use Segment Tree when:

  • Updates are needed
  • Non-idempotent operations
  • More complex queries

Use BIT when:

  • Only need prefix/range sums
  • Want simpler code than segment tree