1-1: description大家好,我是河海哥,专注于后端,如果可以的话,想做一名code designer而不是普通的coder,一起见证河海哥的成长,您的评论与赞是我的最大动力,如有错误还请不吝赐教,万分感谢。一起支持原创吧!纯手打有笔误还望谅解。
Given an n-ary tree, return the level order traversal of its nodes’ values.
Nary-Tree input serialization is represented in their level order traversal, each group of children is separated by the null value (See examples).
Example 1:
Input: root = [1,null,3,2,4,null,5,6] Output: [[1],[3,2,4],[5,6]]
Example 2:
Input: root = [1,null,2,3,4,5,null,null,6,7,null,8,null,9,10,null,null,11,null,12,null,13,null,null,14] Output: [[1],[2,3,4,5],[6,7,8,9,10],[11,12,13],[14]]
来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/n-ary-tree-level-order-traversal
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☘️利用层次遍历层次遍历代码的模板代码,只需要将左右子树的判断换成孩子就可以啦。
1-2-2: codestatic class Node {
public int val;
public List children;
public Node() {
}
public Node(int _val) {
val = _val;
}
public Node(int _val, List _children) {
val = _val;
children = _children;
}
}
public List> levelOrder(Node root) {
List> naryLevelOrder = new ArrayList<>();
Queue queue = new ArrayDeque<>();
if (root == null) {
return naryLevelOrder;
}
queue.offer(root);
while (!queue.isEmpty()) {
int size = queue.size();
List levelNodes = new ArrayList<>();
for (int i = 0; i < size; i++) {
Node node = queue.poll();
if (!node.children.isEmpty()) {
queue.addAll(node.children);
// for (Node n : node.children) {
// queue.offer(n);
// }
}
levelNodes.add(node.val);
}
naryLevelOrder.add(levelNodes);
}
return naryLevelOrder;
}
1-2: solution2
1-2-1: idea
☘️二叉树的层次遍历中,还有一种深度优先算法,在这里我们也是完全可以用滴
1-2-2: codepublic static void dfs(Node root, int level, List1-3: conclusion> levelNodes) { if (root == null) { return; } if (levelNodes.size() == level) { levelNodes.add(new ArrayList<>()); } levelNodes.get(level).add(root.val); for (Node node : root.children) { dfs(node, level + 1, levelNodes); } } public List
> levelOrder3(Node root) { List
> naryLevelOrder = new ArrayList<>(); if (root == null) { return naryLevelOrder; } int initialLevel = 0; dfs(root, initialLevel, naryLevelOrder); return naryLevelOrder; }
☘️这个题目还是很简单的,只要会层次遍历,n叉树是一样的。



