思路一:用栈存储层序,再按序输出
/**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
import java.util.*;
public class Solution {
public ArrayList<ArrayList<Integer>> levelOrderBottom(TreeNode root) {
ArrayList<ArrayList<Integer>> List1=new ArrayList<ArrayList<Integer>>();
if(root==null)
return List1;
Queue<TreeNode> queue=new LinkedList<TreeNode>();
Stack<ArrayList<Integer>> stack=new Stack<ArrayList<Integer>>();
queue.add(root);
while(!queue.isEmpty()){
ArrayList<Integer> list1=new ArrayList<Integer>();
int count=queue.size();
while(count>0){
TreeNode temp=queue.poll();
list1.add(temp.val);
if(temp.left!=null)
queue.add(temp.left);
if(temp.right!=null)
queue.add(temp.right);
count--;
}
stack.add(list1);
}
while(!stack.empty()){
List1.add(stack.pop());
}
return List1;
}
}
思路二:递归思想,先进行递归后输出
/**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
import java.util.*;
public class Solution {
ArrayList<ArrayList<Integer>> List1=new ArrayList<ArrayList<Integer>>();
public ArrayList<ArrayList<Integer>> levelOrderBottom(TreeNode root) {
if(root==null)
return List1;
Queue<TreeNode> queue=new LinkedList<TreeNode>();
queue.add(root);
bottom(queue);
return List1;
}
public void bottom(Queue<TreeNode> queue){
if(queue.isEmpty())
return;
int count=queue.size();
ArrayList<Integer> list1=new ArrayList<Integer>();
while(count>0){
TreeNode temp=queue.poll();
list1.add(temp.val);
if(temp.left!=null)
queue.add(temp.left);
if(temp.right!=null)
queue.add(temp.right);
count--;
}
bottom(queue);
List1.add(new ArrayList<Integer> (list1));
}
}