Trees
Level-Order Traversal
Visit a tree breadth-first with a queue.
Algorithm
The canonical tree is 4(2(1,3),6(5,7)), so this JavaScript DSA
implementation can be compared directly with the rest of the DSA track.
Basic Implementation
basic.js
class Node {
constructor(value, left = null, right = null) {
this.value = value;
this.left = left;
this.right = right;
}
}
function render(node) {
if (node === null) return "_";
if (node.left === null && node.right === null) return String(node.value);
return `${node.value}(${render(node.left)},${render(node.right)})`;
}
function sampleTree() {
return new Node(4, new Node(2, new Node(1), new Node(3)), new Node(6, new Node(5), new Node(7)));
}
const root = sampleTree();
const queue = [root];
const output = [];
while (queue.length > 0) { const node = queue.shift(); output.push(node.value); if (node.left) queue.push(node.left); if (node.right) queue.push(node.right); }
console.log(`[${output.join(", ")}]`);
Complexity
- Time: O(n)
- Space: O(w) queue space
Implementation notes
- Render tree structure explicitly instead of printing node objects.
- The replay highlights the node, traversal state, queue, path, or search cursor that changes at each step.
level order
Level-order traversal uses a queue to visit shallower nodes first.