目录
一、二叉树的递归遍历
二叉树的定义
前序遍历
中序遍历
后序遍历
java中List的用法
二、二叉树的迭代遍历
前序遍历(用栈来模拟递归实现)
后序遍历 (在前序遍历的基础上调换左右顺序,再反转)
Java使用Collections.reverse()反转一个List
中序遍历
三、统一迭代
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;
}
}
/**
* 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 preorderTraversal(TreeNode root) {
LinkedList result=new LinkedList<>();
preorder(root,result);
return result;
}
public void preorder(TreeNode root,LinkedList result)
{
if(root==null)
{
return;
}
result.add(root.val);
preorder(root.left,result);
preorder(root.right,result);
}
}
/**
* 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 inorderTraversal(TreeNode root) {
List result=new LinkedList<>();
inorder(root,result);
return result;
}
public void inorder(TreeNode root,List result)
{
if(root==null)
{
return;
}
inorder(root.left,result);
result.add(root.val);
inorder(root.right,result);
}
}
/**
* 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 postorderTraversal(TreeNode root) {
Listresult=new ArrayList<>();
postorder(root,result);
return result;
}
public void postorder(TreeNode root,Listresult)
{
if(root==null)
return;
postorder(root.left,result);
postorder(root.right,result);
result.add(root.val);
}
}
List接口是Collection接口的子接口,List有一个重要的实现类--ArrayList类,List中的元素是有序排列的而且可重复,所以被称为是序列。
List可以精确的控制每个元素的插入位置,或删除某个位置元素,它的实现类ArrayList底层是由数组实现的。
List中有增删改查的方法。
所有已知实现类:
AbstractList
, AbstractSequentialList
, ArrayList
, AttributeList
, CopyOnWriteArrayList
, LinkedList
, RoleList
, RoleUnresolvedList
, Stack
, Vector
/**
* 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 preorderTraversal(TreeNode root) {
List result = new ArrayList<>();
if (root == null){
return result;
}
Stack stack = new Stack<>();
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;
}
}
/**
* 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 postorderTraversal(TreeNode root) {
List result=new ArrayList<>();
if(root==null)
{
return result;
}
Stackstack=new Stack<>();
stack.push(root);
while(!stack.isEmpty())
{
TreeNode node=stack.pop();
result.add(node.val);
if(node.left!=null)
{
stack.push(node.left);
}
if(node.right!=null)
{
stack.push(node.right);
}
}
Collections.reverse(result);
return result;
}
}
/**
* 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 inorderTraversal(TreeNode root) {
Listresult=new ArrayList<>();
if(root==null)
{
return result;
}
Stackstack=new Stack<>();
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;
}
}
只要不是空结点,就一路向左入栈,是空结点,就弹出当前结点,并且放入返回结果中。继续判断右节点是不是为空,如果为空,就继续弹出刚刚访问过的结点。 在使用迭代法写中序遍历,就需要借用指针的遍历来帮助访问节点,栈则用来处理节点上的元素。
代码随想录
二刷的时候再看