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43、二叉树第K小的元素

给定一个二叉搜索树的根节点 root ,和一个整数 k ,请你设计一个算法查找其中第 k 小的元素(从 1 开始计数)。

/**
 * 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 int kthSmallest(TreeNode root, int k) {
        Deque<TreeNode> stack = new ArrayDeque<>();
        while (root != null || !stack.isEmpty()) {
            while (root != null) {
                stack.push(root);
                root = root.left;
            }
            root = stack.pop();
            --k;
            if (k == 0) {
                break;
            }
            root = root.right;
        }
        return root.val;
    }
}

44、二叉树的右视图

给定一个二叉树的 根节点 root,想象自己站在它的右侧,按照从顶部到底部的顺序,返回从右侧所能看到的节点值。

/**
 * 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) {
        Map<Integer,Integer> rightMostValueAtDepth = new HashMap<Integer,Integer>();
        int max_depth = -1;

        Queue<TreeNode> nodeQueue = new LinkedList<TreeNode>();
        Queue<Integer> depthQueue = new LinkedList<Integer>();
        nodeQueue.add(root);
        depthQueue.add(0);
        while (!nodeQueue.isEmpty()) {
            TreeNode node = nodeQueue.remove();
            int depth = depthQueue.remove();

            if (node != null) {
                // 维护二叉树的最大深度
                max_depth = Math.max(max_depth,depth);

                rightMostValueAtDepth.put(depth,node.val);
                
                nodeQueue.add(node.left);
                depthQueue.add(depth + 1);

                nodeQueue.add(node.right);
                depthQueue.add(depth + 1);
            }
        }

        List<Integer> rightView = new ArrayList<Integer>();
        for (int depth = 0;depth <= max_depth;depth ++) {
            rightView.add(rightMostValueAtDepth.get(depth));
        }
        return rightView;
    }
}
posted on 2025-06-22 20:41  万能包哥  阅读(8)  评论(0)    收藏  举报