Leetcode 545. Boundary of Binary Tree-优快云博客

本文介绍了一种算法，该算法可以返回给定二叉树边界节点的值，包括左边界、叶子节点和右边界，按逆时针方向输出且不包含重复节点。通过两个示例展示了如何实现这一功能。

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Given a binary tree, return the values of its boundary in anti-clockwise direction starting from root. Boundary includes left boundary, leaves, and right boundary in order without duplicate nodes.

Left boundary is defined as the path from root to the left-most node. Right boundary is defined as the path from root to the right-most node. If the root doesn't have left subtree or right subtree, then the root itself is left boundary or right boundary. Note this definition only applies to the input binary tree, and not applies to any subtrees.

The left-most node is defined as a leaf node you could reach when you always firstly travel to the left subtree if exists. If not, travel to the right subtree. Repeat until you reach a leaf node.

The right-most node is also defined by the same way with left and right exchanged.

Example 1

Input:
  1
   \
    2
   / \
  3   4

Ouput:
[1, 3, 4, 2]

Explanation:
The root doesn't have left subtree, so the root itself is left boundary.
The leaves are node 3 and 4.
The right boundary are node 1,2,4. Note the anti-clockwise direction means you should output reversed right boundary.
So order them in anti-clockwise without duplicates and we have [1,3,4,2].

Example 2

Input:
    ____1_____
   /          \
  2            3
 / \          / 
4   5        6   
   / \      / \
  7   8    9  10  
       
Ouput:
[1,2,4,7,8,9,10,6,3]

Explanation:
The left boundary are node 1,2,4. (4 is the left-most node according to definition)
The leaves are node 4,7,8,9,10.
The right boundary are node 1,3,6,10. (10 is the right-most node).
So order them in anti-clockwise without duplicate nodes we have [1,2,4,7,8,9,10,6,3].

    public List<Integer> boundaryOfBinaryTree(TreeNode root) {
        List<Integer> res = new ArrayList<>();
        if (root == null) return res;
        if (root.left != null || root.right != null) res.add(root.val);
        left_bound(root.left, res);
        leaves(root, res);
        right_bound(root.right, res);
       
        return res;
    }
    
    private void left_bound(TreeNode root, List<Integer> res) {
        if (root == null || (root.left == null && root.right == null)) return;
        res.add(root.val);
        if (root.left == null) left_bound(root.right, res);
        else left_bound(root.left, res);
    }
    
    private void right_bound(TreeNode root, List<Integer> res) {
        if (root == null || (root.left == null && root.right == null)) return;
        if (root.right == null) right_bound(root.left, res);
        else right_bound(root.right, res);
        res.add(root.val);
    }
    
    private void leaves(TreeNode root, List<Integer> res) {
        if (root == null) return;
        if (root.left == null && root.right == null) res.add(root.val);
        leaves(root.left, res);
        leaves(root.right, res);
    }