LeetCode 545. Boundary of Binary Tree 二叉樹邊界

Astrian 發布于2019-08-16 13:31 / 1692人閱讀

摘要：二叉樹邊界題意高頻題，必須熟練掌握。逆時針打印二叉樹邊界。解題思路根據觀察，我們發現當為左邊界時，也是左邊界當為左邊界時，為空，則也可以左邊界。先加入左邊，加入，然后得到兩個子樹加入，最后加入右邊界。

LeetCode 545. Boundary of Binary Tree 二叉樹邊界
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:

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].

題意: 高頻題，必須熟練掌握。逆時針打印二叉樹邊界。

解題思路：
根據觀察，我們發現

當node為leftBound左邊界時，node.left也是左邊界

當node為leftBound左邊界時，node.left為空，則node.right也可以leftBound左邊界。

Bottom的所有都要加入其中。

rightBound也是如此。

我們可以循環調用dfs，初始化leftBound和rightBound兩個boolean參數，一層層判斷。先加入左邊，加入bottom，然后得到兩個子樹加入，最后加入右邊界。

代碼如下：

/**
    * node.left is left bound if node is left bound;
    * node.right could also be left bound if node is left bound && node has no left child;
    * Same applys for right bound;
    * if node is left bound, add it before 2 child - pre order;
    * if node is right bound, add it after 2 child - post order;
    * A leaf node that is neither left or right bound belongs to the bottom line;
    */
    public List boundaryOfBinaryTree(TreeNode root) {
        List res = new ArrayList<>();
        if (root == null) return res;
        res.add(root.val);
        getBounds(root.left, res, true, false);
        getBounds(root.right, res, false, true);
        return res;
    }
    public void getBounds(TreeNode node, List res, boolean leftBound, boolean rightBound) {
        if (node == null) return;
        if (leftBound) {
            res.add(node.val);
        }
        //add bottom
        if(!leftBound && !rightBound && node.left == null && node.right == null) {
            res.add(node.val);
        }
        getBounds(node.left, res, leftBound, rightBound && node.right == null);
        getBounds(node.right, res, leftBound && node.left == null, rightBound);
        if (rightBound) {
            res.add(node.val);
        }
        
        
    }

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