*Binary Tree Preorder Traversal

题目：

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

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

   1
    
     2
    /
   3

return [1,2,3].

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

代码：深度优先这几个算法思路类似

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Version 0: Non-Recursion (Recommend)
/**
 * Definition for binary tree
 * public class TreeNode {
 *     int val;
 *     TreeNode left;
 *     TreeNode right;
 *     TreeNode(int x) { val = x; }
 * }
 */
public class Solution {
    public List<Integer> preorderTraversal(TreeNode root) {
        Stack<TreeNode> stack = new Stack<TreeNode>();
        List<Integer> preorder = new ArrayList<Integer>();
        
        if (root == null) {
            return preorder;
        }
        
        stack.push(root);
        while (!stack.empty()) {
            TreeNode node = stack.pop();
            preorder.add(node.val);
            if (node.right != null) {
                stack.push(node.right);
            }
            if (node.left != null) {
                stack.push(node.left);
            }
        }
        
        return preorder;
    }
}

//Version 1: Traverse
public class Solution {
    public ArrayList<Integer> preorderTraversal(TreeNode root) {
        ArrayList<Integer> result = new ArrayList<Integer>();
        traverse(root, result);
        return result;
    }
    // 把root为跟的preorder加入result里面
    private void traverse(TreeNode root, ArrayList<Integer> result) {
        if (root == null) {
            return;
        }

        result.add(root.val);
        traverse(root.left, result);
        traverse(root.right, result);
    }
}

//Version 2: Divide & Conquer
public class Solution {
    public ArrayList<Integer> preorderTraversal(TreeNode root) {
        ArrayList<Integer> result = new ArrayList<Integer>();
        // null or leaf
        if (root == null) {
            return result;
        }

        // Divide
        ArrayList<Integer> left = preorderTraversal(root.left);
        ArrayList<Integer> right = preorderTraversal(root.right);

        // Conquer
        result.add(root.val);
        result.addAll(left);
        result.addAll(right);
        return result;
    }
}

自己的解法： Non-Recursion (Recommend)

public class Solution {
    public List<Integer> preorderTraversal(TreeNode root) 
    {
        List<Integer> result = new ArrayList<Integer> ();
        LinkedList<TreeNode> stack = new LinkedList<TreeNode>();
        
        while(root!=null||stack.isEmpty()==false)
        {
            if(root!=null)
            {
                result.add(root.val);
                stack.push(root);
                root=root.left;
            }
            else
            {
                root=stack.pop();
                root=root.right;
                
            }
        }
        
        return result;
    }
}