144.二叉树的前序遍历 思路:这几道题都是用递归代码是比较简单的
class Solution {
List<Integer> result = new ArrayList<>();
public List<Integer> preorderTraversal(TreeNode root) {
preorder(root);
return result;
}
private void preorder(TreeNode root) {
if (root == null) {
return;
}
result.add(root.val);
preorder(root.left);
preorder(root.right);
}
}
迭代法:
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
class Solution {
public List<Integer> preorderTraversal(TreeNode root) {
Deque<TreeNode> stack = new ArrayDeque<>();
List<Integer> result = new ArrayList<>();
if (root == null) return result;
stack.push(root);
while (!stack.isEmpty()) {
TreeNode node = stack.pop();
result.add(node.val);
if (node.right != null) {
stack.push(node.right);
}
if (node.left != null) {
stack.push(node.left);
}
}
return result;
}
}
中序遍历和先序遍历的区别在哪? 中序遍历是先到达的根节点,但是处理是要走到最左孩子才处理,所以跟先序遍历是不一样的
class Solution {
public List<Integer> inorderTraversal(TreeNode root) {
List<Integer> result = new ArrayList<>();
if (root == null){
return result;
}
Deque<TreeNode> stack = new ArrayDeque<>();
TreeNode cur = root;
while (cur != null || !stack.isEmpty()){
if (cur != null){
stack.push(cur);
cur = cur.left;
}else{
cur = stack.pop();
result.add(cur.val);
cur = cur.right;
}
}
return result;
}
}
102.二叉树的层序遍历 leetcode.com/problems/bi…
class Solution {
List<List<Integer>> result = new ArrayList<>();
public List<List<Integer>> levelOrder(TreeNode root) {
if (root == null) return result;
Queue<TreeNode> que = new LinkedList<>();
que.offer(root);
while (!que.isEmpty()) {
List<Integer> itemList = new ArrayList<>();
int len = que.size();
// 弹出节点,把节点的值加入list
// 把弹出节点的左右孩子加入queue
while (len > 0) {
TreeNode tmpNode = que.poll();
itemList.add(tmpNode.val);
if (tmpNode.left != null) que.offer(tmpNode.left);
if (tmpNode.right != null) que.offer(tmpNode.right);
len--;
}
result.add(itemList);
}
return result;
}
}