Advanced Data Structures

Binary Indexed Tree (Fenwick Tree) Guide

Unlock efficient solutions for range sum queries and updates with the Binary Indexed Tree. This guide provides a clear implementation, common problems, and AI-powered hints.

Fenwick Tree Implementation

A Binary Indexed Tree is a powerful data structure for problems involving prefix sums. It's more space-efficient than a segment tree and often simpler to implement.

class FenwickTree { constructor(size) { this.tree = new Array(size + 1).fill(0); } update(index, delta) { index++; while (index < this.tree.length) { this.tree[index] += delta; index += index & -index; } } query(index) { index++; let sum = 0; while (index > 0) { sum += this.tree[index]; index -= index & -index; } return sum; } rangeSum(left, right) { return this.query(right) - this.query(left - 1); } }
AI Coach Hint: The magic of the Fenwick Tree is in the bitwise operation `index & -index`, which gets the least significant bit. This allows you to jump to the next relevant index in the tree for both updates and queries, achieving the O(log n) complexity.

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