For example:
Given binary tree
{1,#,2,3},
1
\
2
/
3
return [1,3,2].
Note: Recursive solution is trivial, could you do it iteratively?
Solution
/**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<Integer> inorderTraversal(TreeNode root) {
ArrayDeque<TreeNode> stack = new ArrayDeque<TreeNode>();
List<Integer> solution = new ArrayList<Integer>();
TreeNode node = root;
while(!stack.isEmpty() || node !=null)
{
if (node != null)
{
stack.push(node);
node = node.left;
}
else
{
node = stack.pop();
solution.add(node.val);
node = node.right;
}
}
return solution;
}
}
Other solution:
This solution needs more space but is easier to understand./**
* Definition for binary tree
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode(int x) { val = x; }
* }
*/
public class Solution {
public List<Integer> inorderTraversal(TreeNode root) {
ArrayDeque<TreeNode> stack = new ArrayDeque<TreeNode>();
List<Integer> solution = new ArrayList<Integer>();
HashSet<TreeNode> used = new HashSet<TreeNode>();
if(root!=null)
stack.push(root);
while(!stack.isEmpty())
{
TreeNode temp = stack.pop();
if(used.contains(temp))
{
solution.add(temp.val);
continue;
}
used.add(temp);
if (temp.right != null)
stack.push(temp.right);
stack.push(temp);
if (temp.left != null)
stack.push(temp.left);
}
return solution;
}
}
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