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The recursive DFS approach involves starting from the root and checking if every node has the same value as the root node. This can be achieved by recursively checking the left and right subtrees of each node. If a node value differs from the root node's value, we return false immediately.
Time Complexity: O(n), where n is the number of nodes in the tree, as each node is visited once.
Space Complexity: O(h), where h is the height of the tree, due to the recursion stack.
1var isUnivalTree = function(root) {
2 function dfs(node, val) {
3 if (node === null) return true;
4 if (node.val !== val) return false;
5 return dfs(node.left, val) && dfs(node.right, val);
6 }
7 return dfs(root, root.val);
8};In JavaScript, a depth-first search (DFS) approach employs recursion to traverse the tree and compare values, implemented via nested function.
An iterative BFS approach uses a queue to level-order traverse the tree. We compare each node's value to the root's value. If any node differs, the function returns false.
Time Complexity: O(n), as each node is checked once.
Space Complexity: O(n), due to the queue storing at most one level of the tree.
1importJava employs a LinkedList-based queue for BFS, iterating through nodes and matching each value with the root's. Deviations lead to early termination and a return false.