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Advanced Trees

Segment trees, Fenwick trees, and tree DP for range queries and complex tree problems.

0 Problems4-5 hours

Overview

Advanced tree structures support efficient range queries and updates. Segment trees answer range queries in O(log n) and support point/range updates. Fenwick trees (BIT) are simpler for prefix sum queries. These appear in hard interview questions and competitive programming.

Complexity Summary

Time Complexity

Segment/Fenwick O(log n) per query/update

Space Complexity

O(n)

Key Patterns & Techniques

Learn the core patterns in this topic. Each block explains when to use the pattern, the intuition behind it, and a compact code example.

1

Segment Tree

Concept

build O(n), range query O(log n), point update O(log n)

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2

Lazy propagation

Concept

defer range updates for O(log n) range update too

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3

Fenwick Tree (BIT)

Concept

prefix sum in O(log n); simpler than segment tree

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4

Sparse Table

Concept

O(n log n) build, O(1) range min/max query; immutable

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5

Tree DP

Concept

define dp on tree nodes, combine from children up

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6

Rerooting

Concept

compute dp for each node as root in O(n)

Practice questions for this pattern
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