Given a binary tree, return the zigzag level order traversal of its nodes' values. (ie, from left to right, then right to left for the next level and alternate between).
For example:
Given binary tree [3,9,20,null,null,15,7],
3
/ \
9 20
/ \
15 7
return its zigzag level order traversal as:
[
[3],
[20,9],
[15,7]
]
Solution1:BFS
思路: BFS + 交替每行cur_result 添加到头/尾
Time Complexity: O(N) Space Complexity: O(N)
Solution2:pre-order DFS with level
思路:DFS过程中不同level的结果list 保存到 对应ArrayList<list> result[level]中
Time Complexity: O(N) Space Complexity: O(N) 递归缓存
Solution1 Code:
class Solution1 {
public List<List<Integer>> zigzagLevelOrder(TreeNode root) {
Queue<TreeNode> queue = new LinkedList<TreeNode>();
List<List<Integer>> result = new LinkedList<List<Integer>>();
if(root == null) return result;
boolean order = true;
queue.offer(root);
while(!queue.isEmpty()) {
int num_on_level = queue.size();
List<Integer> cur_result = new LinkedList<Integer>();
for(int i = 0; i < num_on_level; i++) {
TreeNode cur = queue.poll();
if(cur.left != null) queue.add(cur.left);
if(cur.right != null) queue.add(cur.right);
// add result to cur_result
if(order) cur_result.add(cur.val);
else cur_result.add(0, cur.val);
}
result.add(cur_result);
order = order ? false : true;
}
return result;
}
}
Solution2 Code:
class Solution2 {
public List<List<Integer>> zigzagLevelOrder(TreeNode root) {
List<List<Integer>> result = new ArrayList<List<Integer>>();
dfs(result, root, 0);
return result;
}
public void dfs(List<List<Integer>> result, TreeNode root, int level) {
if (root == null) return;
if (level == result.size()) {
result.add(new LinkedList<Integer>());
}
List<Integer> list = result.get(level);
if(level % 2 == 0) list.add(root.val);
else list.add(0, root.val);
dfs(result, root.left, level + 1);
dfs(result, root.right, level + 1);
}
}