1448. Count Good Nodes In Binary Tree - Explanation

Description

Within a binary tree, a node x is considered good if the path from the root of the tree to the node x contains no nodes with a value greater than the value of node x

Given the root of a binary tree root, return the number of good nodes within the tree.

Example 1:

Input: root = [2,1,1,3,null,1,5]

Output: 3

Example 2:

Input: root = [1,2,-1,3,4]

Output: 4

Constraints:

1 <= number of nodes in the tree <= 100
-100 <= Node.val <= 100

Topics

Recommended Time & Space Complexity

You should aim for a solution with O(n) time andO(n) space, where n is the number of nodes in the given tree.

Hint 1

A brute force solution would involve considering every node and checking if the path from the root to that node is valid, resulting in an O(n^2) time complexity. Can you think of a better approach?

Hint 2

We can use the Depth First Search (DFS) algorithm to traverse the tree. But can you think of a way to determine if the current node is a good node in a single traversal? Maybe we need to track a value while traversing the tree.

Hint 3

While traversing the tree, we should track the maximum value along the current path. This allows us to determine whether the nodes we encounter are good. We can use a global variable to count the number of good nodes.

Company Tags

Please upgrade to NeetCode Pro to view company tags.

Prerequisites

Before attempting this problem, you should be comfortable with:

Binary Trees - Understanding tree node structures with left and right children
Depth First Search (DFS) - Traversing trees recursively while passing state (max value) down each path
Breadth First Search (BFS) - Level-order traversal using a queue with associated path information

1. Depth First Search

Intuition

A node is “good” if on the path from the root to that node, no earlier node has a value greater than it.
So while traversing the tree, we just need to carry the maximum value seen so far on the current path.

If the current node’s value ≥ that maximum → it is a good node.

Algorithm

Start DFS from the root and store the root's value as the current maxSoFar.
At each node:
- If node.val >= maxSoFar, count it as a good node.
- Update maxSoFar = max(maxSoFar, node.val).
Recursively explore:
- Left child with updated maxSoFar
- Right child with updated maxSoFar
Sum the counts from left and right and return the total.

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right

class Solution:
    def goodNodes(self, root: TreeNode) -> int:

        def dfs(node, maxVal):
            if not node:
                return 0

            res = 1 if node.val >= maxVal else 0
            maxVal = max(maxVal, node.val)
            res += dfs(node.left, maxVal)
            res += dfs(node.right, maxVal)
            return res

        return dfs(root, root.val)

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */

class Solution {

    public int goodNodes(TreeNode root) {
        return dfs(root, root.val);
    }

    private int dfs(TreeNode node, int maxVal) {
        if (node == null) {
            return 0;
        }

        int res = (node.val >= maxVal) ? 1 : 0;
        maxVal = Math.max(maxVal, node.val);
        res += dfs(node.left, maxVal);
        res += dfs(node.right, maxVal);
        return res;
    }
}

/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode() : val(0), left(nullptr), right(nullptr) {}
 *     TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
 *     TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
 * };
 */

class Solution {
public:
    int goodNodes(TreeNode* root) {
        return dfs(root, root->val);
    }

private:
    int dfs(TreeNode* node, int maxVal) {
        if (!node) {
            return 0;
        }

        int res = (node->val >= maxVal) ? 1 : 0;
        maxVal = max(maxVal, node->val);
        res += dfs(node->left, maxVal);
        res += dfs(node->right, maxVal);
        return res;
    }
};

/**
 * Definition for a binary tree node.
 * class TreeNode {
 *     constructor(val = 0, left = null, right = null) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */

class Solution {
    /**
     * @param {TreeNode} root
     * @return {number}
     */
    goodNodes(root) {
        return this.dfs(root, root.val);
    }

    /**
     * @param {TreeNode} node
     * @param {number} maxVal
     * @return {number}
     */
    dfs(node, maxVal) {
        if (!node) {
            return 0;
        }

        let res = node.val >= maxVal ? 1 : 0;
        maxVal = Math.max(maxVal, node.val);
        res += this.dfs(node.left, maxVal);
        res += this.dfs(node.right, maxVal);
        return res;
    }
}

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     public int val;
 *     public TreeNode left;
 *     public TreeNode right;
 *     public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */

public class Solution {

    public int GoodNodes(TreeNode root) {
        return Dfs(root, root.val);
    }

    private int Dfs(TreeNode node, int maxVal) {
        if (node == null) {
            return 0;
        }

        int res = (node.val >= maxVal) ? 1 : 0;
        maxVal = Math.Max(maxVal, node.val);
        res += Dfs(node.left, maxVal);
        res += Dfs(node.right, maxVal);
        return res;
    }
}

/**
 * Definition for a binary tree node.
 * type TreeNode struct {
 *     Val int
 *     Left *TreeNode
 *     Right *TreeNode
 * }
 */
func goodNodes(root *TreeNode) int {
    if root == nil {
        return 0
    }

    var dfs func(node *TreeNode, maxVal int) int
    dfs = func(node *TreeNode, maxVal int) int {
        if node == nil {
            return 0
        }

        res := 0
        if node.Val >= maxVal {
            res = 1
        }

        maxVal = max(maxVal, node.Val)
        res += dfs(node.Left, maxVal)
        res += dfs(node.Right, maxVal)

        return res
    }

    return dfs(root, root.Val)
}

func max(a, b int) int {
    if a > b {
        return a
    }
    return b
}

/**
 * Example:
 * var ti = TreeNode(5)
 * var v = ti.`val`
 * Definition for a binary tree node.
 * class TreeNode(var `val`: Int) {
 *     var left: TreeNode? = null
 *     var right: TreeNode? = null
 * }
 */
class Solution {
    fun goodNodes(root: TreeNode?): Int {
        if (root == null) return 0

        fun dfs(node: TreeNode?, maxVal: Int): Int {
            if (node == null) return 0

            var res = 0
            if (node.`val` >= maxVal) {
                res = 1
            }

            val newMaxVal = maxOf(maxVal, node.`val`)
            res += dfs(node.left, newMaxVal)
            res += dfs(node.right, newMaxVal)

            return res
        }

        return dfs(root, root.`val`)
    }
}

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     public var val: Int
 *     public var left: TreeNode?
 *     public var right: TreeNode?
 *     public init() { self.val = 0; self.left = nil; self.right = nil; }
 *     public init(_ val: Int) { self.val = val; self.left = nil; self.right = nil; }
 *     public init(_ val: Int, _ left: TreeNode?, _ right: TreeNode?) {
 *         self.val = val
 *         self.left = left
 *         self.right = right
 *     }
 * }
 */
class Solution {
    func goodNodes(_ root: TreeNode?) -> Int {
        func dfs(_ node: TreeNode?, _ maxVal: Int) -> Int {
            guard let node = node else { return 0 }

            var res = node.val >= maxVal ? 1 : 0
            let newMaxVal = max(maxVal, node.val)
            res += dfs(node.left, newMaxVal)
            res += dfs(node.right, newMaxVal)
            return res
        }

        return dfs(root, root?.val ?? Int.min)
    }
}

Time & Space Complexity

Time complexity: $O(n)$
Space complexity: $O(n)$

2. Breadth First Search

Intuition

A node is “good” if along the path from the root to that node, no earlier node has a value greater than it.
Using BFS, we can traverse level by level while carrying the maximum value seen so far for each path.
Whenever we visit a node, we compare its value with that max — if it's greater or equal, this node is good.

Each child inherits the updated maximum of its own path.

Algorithm

Use a queue that stores pairs: (node, maxSoFarOnPath).
Start by pushing (root, -infinity) into the queue.
While the queue is not empty:
- Pop one (node, maxVal).
- If node.val >= maxVal, increase the good-node count.
- For each child:
  - Push (child, max(maxVal, node.val)) into the queue.
Return the total count.

# Definition for a binary tree node.
# class TreeNode:
#     def __init__(self, val=0, left=None, right=None):
#         self.val = val
#         self.left = left
#         self.right = right

class Solution:
    def goodNodes(self, root: TreeNode) -> int:
        res = 0
        q = deque()

        q.append((root,-float('inf')))

        while q:
            node,maxval = q.popleft()
            if node.val >= maxval:
                res += 1

            if node.left:
                q.append((node.left,max(maxval,node.val)))

            if node.right:
                q.append((node.right,max(maxval,node.val)))

        return res

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode() {}
 *     TreeNode(int val) { this.val = val; }
 *     TreeNode(int val, TreeNode left, TreeNode right) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */

public class Solution {
    public int goodNodes(TreeNode root) {
        int res = 0;
        Queue<Pair<TreeNode, Integer>> q = new LinkedList<>();
        q.offer(new Pair<>(root, Integer.MIN_VALUE));

        while (!q.isEmpty()) {
            Pair<TreeNode, Integer> pair = q.poll();
            TreeNode node = pair.getKey();
            int maxval = pair.getValue();
            if (node.val >= maxval) {
                res++;
            }
            if (node.left != null) {
                q.offer(new Pair<>(node.left, Math.max(maxval, node.val)));
            }
            if (node.right != null) {
                q.offer(new Pair<>(node.right, Math.max(maxval, node.val)));
            }
        }
        return res;
    }
}

/**
 * Definition for a binary tree node.
 * struct TreeNode {
 *     int val;
 *     TreeNode *left;
 *     TreeNode *right;
 *     TreeNode() : val(0), left(nullptr), right(nullptr) {}
 *     TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
 *     TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
 * };
 */

class Solution {
public:
    int goodNodes(TreeNode* root) {
        int res = 0;
        queue<pair<TreeNode*, int>> q;
        q.push({root, -INT_MAX});

        while (!q.empty()) {
            auto [node, maxval] = q.front();
            q.pop();
            if (node->val >= maxval) {
                res++;
            }
            if (node->left) {
                q.push({node->left, max(maxval, node->val)});
            }
            if (node->right) {
                q.push({node->right, max(maxval, node->val)});
            }
        }
        return res;
    }
};

/**
 * Definition for a binary tree node.
 * class TreeNode {
 *     constructor(val = 0, left = null, right = null) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */

class Solution {
    /**
     * @param {TreeNode} root
     * @return {number}
     */
    goodNodes(root) {
        let res = 0;
        let q = new Queue();
        q.push([root, -Infinity]);

        while (!q.isEmpty()) {
            let [node, maxval] = q.pop();
            if (node.val >= maxval) {
                res++;
            }
            if (node.left) {
                q.push([node.left, Math.max(maxval, node.val)]);
            }
            if (node.right) {
                q.push([node.right, Math.max(maxval, node.val)]);
            }
        }
        return res;
    }
}

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     public int val;
 *     public TreeNode left;
 *     public TreeNode right;
 *     public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
 *         this.val = val;
 *         this.left = left;
 *         this.right = right;
 *     }
 * }
 */

public class Solution {
    public int GoodNodes(TreeNode root) {
        int res = 0;
        Queue<(TreeNode, int)> q = new Queue<(TreeNode, int)>();
        q.Enqueue((root, int.MinValue));

        while (q.Count > 0) {
            var (node, maxval) = q.Dequeue();
            if (node.val >= maxval) {
                res++;
            }
            if (node.left != null) {
                q.Enqueue((node.left, Math.Max(maxval, node.val)));
            }
            if (node.right != null) {
                q.Enqueue((node.right, Math.Max(maxval, node.val)));
            }
        }
        return res;
    }
}

/**
 * Definition for a binary tree node.
 * type TreeNode struct {
 *     Val int
 *     Left *TreeNode
 *     Right *TreeNode
 * }
 */
func goodNodes(root *TreeNode) int {
    if root == nil {
        return 0
    }

    res := 0
    q := []struct {
        node   *TreeNode
        maxVal int
    }{{root, math.MinInt32}}

    for len(q) > 0 {
        front := q[0]
        q = q[1:]

        node := front.node
        maxVal := front.maxVal

        if node.Val >= maxVal {
            res++
        }

        newMaxVal := max(maxVal, node.Val)

        if node.Left != nil {
            q = append(q, struct {
                node   *TreeNode
                maxVal int
            }{node.Left, newMaxVal})
        }

        if node.Right != nil {
            q = append(q, struct {
                node   *TreeNode
                maxVal int
            }{node.Right, newMaxVal})
        }
    }

    return res
}

func max(a, b int) int {
    if a > b {
        return a
    }
    return b
}

/**
 * Example:
 * var ti = TreeNode(5)
 * var v = ti.`val`
 * Definition for a binary tree node.
 * class TreeNode(var `val`: Int) {
 *     var left: TreeNode? = null
 *     var right: TreeNode? = null
 * }
 */
class Solution {
    fun goodNodes(root: TreeNode?): Int {
        if (root == null) return 0

        var res = 0
        val q = ArrayDeque<Pair<TreeNode, Int>>()
        q.add(root to Int.MIN_VALUE)

        while (q.isNotEmpty()) {
            val (node, maxVal) = q.removeFirst()

            if (node.`val` >= maxVal) {
                res++
            }

            val newMaxVal = maxOf(maxVal, node.`val`)

            node.left?.let { q.add(it to newMaxVal) }
            node.right?.let { q.add(it to newMaxVal) }
        }

        return res
    }
}

/**
 * Definition for a binary tree node.
 * public class TreeNode {
 *     public var val: Int
 *     public var left: TreeNode?
 *     public var right: TreeNode?
 *     public init() { self.val = 0; self.left = nil; self.right = nil; }
 *     public init(_ val: Int) { self.val = val; self.left = nil; self.right = nil; }
 *     public init(_ val: Int, _ left: TreeNode?, _ right: TreeNode?) {
 *         self.val = val
 *         self.left = left
 *         self.right = right
 *     }
 * }
 */
class Solution {
    func goodNodes(_ root: TreeNode?) -> Int {
        guard let root = root else { return 0 }

        var res = 0
        var q = Deque<(TreeNode, Int)>()
        q.append((root, Int.min))

        while !q.isEmpty {
            let (node, maxVal) = q.popFirst()!
            if node.val >= maxVal {
                res += 1
            }

            let newMaxVal = max(maxVal, node.val)

            if let left = node.left {
                q.append((left, newMaxVal))
            }
            if let right = node.right {
                q.append((right, newMaxVal))
            }
        }

        return res
    }
}

Time & Space Complexity

Time complexity: $O(n)$
Space complexity: $O(n)$

Common Pitfalls

Using Strictly Greater Than Instead of Greater Than or Equal

A node is "good" if its value is greater than OR EQUAL to all ancestors. Using node.val > maxVal instead of node.val >= maxVal causes the root and equal-valued paths to be missed.

Initializing maxVal Too High

Starting with maxVal = 0 or maxVal = root.val can cause issues with negative values. Initialize with negative infinity or the root's value to correctly count the root as a good node.

# Wrong: misses root if root.val < 0
dfs(root, 0)

# Correct: root is always good
dfs(root, float('-inf'))

The maximum value must be tracked per-path, not globally. Updating a shared variable instead of passing the new max to each recursive call causes incorrect comparisons across different branches.

1448. Count Good Nodes In Binary Tree - Explanation

Description

Prerequisites

1. Depth First Search

Intuition

Algorithm

Time & Space Complexity

2. Breadth First Search

Intuition

Algorithm

Time & Space Complexity

Common Pitfalls

Using Strictly Greater Than Instead of Greater Than or Equal

Initializing maxVal Too High

Sharing maxVal Across Sibling Subtrees