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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