Given a binary tree, return the postorder traversal of its nodes' values.
Example:
Input:[1,null,2,3]
1 2 / 3 Output:[3,2,1]
Follow up: Recursive solution is trivial, could you do it iteratively?
方法一:递归
class Solution { public void preorderTraversal(TreeNode root) { if(root==null) return ; preorderTraversal(root.left); preorderTraversal(root.right); System.out.print(root.val+' '); } }
方法二:用两个栈实现
根据根结点将左右孩子加入栈中这种操作程序比较好实现。用一个栈做中转,另一栈存最终结果的逆序数。
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ class Solution { public List<Integer> postorderTraversal(TreeNode root) { Stack<TreeNode> stack1=new Stack<TreeNode>(); Stack<TreeNode> stack2=new Stack<TreeNode>(); List<Integer> list=new ArrayList<Integer>(); if(root==null) return list; stack1.push(root); while (!stack1.isEmpty()){ root=stack1.pop(); stack2.push(root); if(root.left!=null) stack1.push(root.left); if(root.right!=null) stack1.push(root.right); } while (!stack2.isEmpty()){ list.add(stack2.pop().val); } return list; } }
方法三:用一个栈实现
想法还是从后续遍历的概念而来,后续遍历:左右根。要先找到最左边的叶子结点,找到了之后弹出。然后找对应的右叶子结点。找到后弹出。
当栈不为空时,栈顶元素有三种情况,有左孩子且未被弹出,那就压入栈,有右孩子且未被弹出,那就压入栈。没有左右孩子或者左右孩子已被弹出,那就弹出这个结点(因为根结点总是在孩子之后弹出的)。
/** * Definition for a binary tree node. * public class TreeNode { * int val; * TreeNode left; * TreeNode right; * TreeNode(int x) { val = x; } * } */ class Solution { public List<Integer> postorderTraversal(TreeNode root) { Stack<TreeNode> stack=new Stack<TreeNode>(); List<Integer> list=new ArrayList<Integer>(); if(root==null) return list; TreeNode c=null; stack.push(root); while (!stack.isEmpty()){ c=stack.peek(); if(c.left!=null&&c.left!=root&&c.right!=root){ stack.push(c.left); }else if(c.right!=null&&c.right!=root){ stack.push(c.right); }else { list.add(stack.pop().val); root=c; } } return list; } }