• Binary Tree Postorder Traversal


    Given a binary tree, return the postorder traversal of its nodes' values.

    For example:
    Given binary tree {1,#,2,3},

       1
        
         2
        /
       3
    

    return [3,2,1].

    Note: Recursive solution is trivial, could you do it iteratively?

    Ref: http://www.cnblogs.com/feiling/p/3426486.html

    [解题思路]

    后序遍历的非递归相对来说比较难,根节点需要在其左右孩子都访问结束后才能被访问,因此对于任一节点,先将其入栈,如果p不存在左孩子和右孩子,则可以直接访问它;或者p存在左孩子或者右孩子,但是其左孩子和右孩子都已被访问过了,则同样可以直接访问该节点。若非上述两种情况,则将p的右孩子和左孩子依次入栈,这样就保证了每次去站定元素的时候,左孩子在右孩子前面被访问,左孩子和右孩子在根节点前面被访问。

    Iteration

    /**
     * Definition for binary tree
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    public class Solution {
        public ArrayList<Integer> postorderTraversal(TreeNode root) {
            ArrayList<Integer> result = new ArrayList<Integer>();
            if(root == null){
                return result;
            }
            
            Stack<TreeNode> stack = new Stack<TreeNode>();
            TreeNode cur = null, pre = null;
            stack.push(root);
            
            while(!stack.empty()){
                cur = stack.peek();
                // pre 用来记录上一个访问的节点,防止root 重复访问左节点和右节点
                // (cur.left == pre || cur.right == pre) 可能root的右子为空,所以             // 上一个访问的就为左节点
                if((cur.left == null && cur.right == null) ||
                   ((pre != null) && (cur.left == pre || cur.right == pre))){
                    result.add(cur.val);
                    pre = cur;
                    stack.pop();
                } else {
                    if(cur.right != null){
                        stack.push(cur.right);
                    }
                    if(cur.left != null){
                        stack.push(cur.left);
                    }
                }
                
            }
            
            return result;
        }
    }

    Recursion

    /**
     * Definition for binary tree
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    public class Solution {
        public ArrayList<Integer> postorderTraversal(TreeNode root) {
            ArrayList<Integer> result = new ArrayList<Integer>();
                if(root == null)
                    return result;
                if(root.left != null){
                    result.addAll(postorderTraversal(root.left));
                }
                if(root.right != null){
                    result.addAll(postorderTraversal(root.right));
                }
                result.add(root.val);
                
            return result;
        }
    }

    DP

    /**
     * Definition for binary tree
     * public class TreeNode {
     *     int val;
     *     TreeNode left;
     *     TreeNode right;
     *     TreeNode(int x) { val = x; }
     * }
     */
    public class Solution {
        public ArrayList<Integer> postorderTraversal(TreeNode root) {
            ArrayList<Integer> result = new ArrayList<Integer>();
              
            postorder(root, result);
                
            return result;
        }
        
        private void postorder(TreeNode root, ArrayList<Integer> result){
            if(root != null){
                postorder(root.left, result);
                postorder(root.right, result);
                result.add(root.val);
            }
        }
    }
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  • 原文地址:https://www.cnblogs.com/RazerLu/p/3552885.html
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