501. Find Mode in Binary Search Tree
Given a binary search tree (BST) with duplicates, find all the mode(s) (the most frequently occurred element) in the given BST.
Assume a BST is defined as follows:
- The left subtree of a node contains only nodes with keys less than or equal to the node's key.
- The right subtree of a node contains only nodes with keys greater than or equal to the node's key.
- Both the left and right subtrees must also be binary search trees.
For example:
Given BST [1,null,2,2]
,
return [2]
.
Note: If a tree has more than one mode, you can return them in any order.
Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count).
Solution1://找出出现频率最高的元素
class Solution {
Integer prev = null;
int count = 1;
int max = 0;
public int[] findMode(TreeNode root) {
if (root == null) return new int[0];
List<Integer> list = new ArrayList<>(); //创建一个ArrayList,因为是动态大小的,所以方便数据添加。
traverse(root, list);
int[] res = new int[list.size()];
for (int i = 0; i < list.size(); i++) res[i] = list.get(i);
return res;
}
private void traverse(TreeNode root, List list) {
if (root == null) return;
traverse(root.left, list);
if (prev != null) { //在第一次使用traverse方法时,prev是null所以此判断语句不会运行,之后运行到此处 时,prev不是null所以会根据情况判断是否把count加一
if (root.val == prev)
count ++;
else
count = 1;
}
if (count > max) { //如果此节点值的数量大于max,则把此节点加入ArrayList中(并删了之前的节点)
max = count;
list.clear();
list.add(root.val);
} else if (count == max) {
list.add(root.val);
}
prev = root.val; //最后才把节点的值赋给prev
traverse(root.right, list);
}
}
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