
方法1: bfs-two queues-iteration。这道题目肯定是用bfs更加清楚明了。时间复杂n,空间复杂n。
/**
* 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> rightSideView(TreeNode root) {
List<Integer> list = new ArrayList<>();
if(root == null) return list;
Queue<TreeNode> currLevel = new LinkedList<>();
Queue<TreeNode> nextLevel = new LinkedList<>();
nextLevel.offer(root);
while(!nextLevel.isEmpty()){
currLevel = new LinkedList<>(nextLevel);
nextLevel.clear();
list.add(currLevel.peek().val);
for(TreeNode node : currLevel){
if(node.right != null) nextLevel.offer(node.right);
if(node.left != null) nextLevel.offer(node.left);
}
}
return list;
}
}
方法2: dfs-(root-right-left order)。这道题目我们用root-
right-left的顺序来遍历tree。时间复杂n,空间复杂h。
/**
* 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 {
List<Integer> list = new ArrayList<>();
public List<Integer> rightSideView(TreeNode root) {
if(root == null) return list;
dfsPreorder(root, 0);
return list;
}
public void dfsPreorder(TreeNode root, int level){
if(list.size() == level) {
list.add(root.val);
}
if(root.right != null) dfsPreorder(root.right, level + 1);
if(root.left != null) dfsPreorder(root.left, level + 1);
}
}
总结:
- how to traversal a tree

这篇博客介绍了两种方法来获取二叉树的右视图:一种是使用广度优先搜索(BFS)的双队列迭代法,另一种是深度优先搜索(DFS)的根-右-左顺序遍历。这两种方法的时间复杂度均为O(n),空间复杂度分别为O(n)和O(h)。BFS方法通过逐层遍历并记录每层最后一个节点的值来获取右视图,而DFS方法则沿着特定顺序递归遍历树节点。
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