[LeetCode] 654. Maximum Binary Tree

[grandyang]

 

You are given an integer array nums with no duplicates. A maximum binary tree can be built recursively from nums using the following algorithm:

1. Create a root node whose value is the maximum value in nums.
2. Recursively build the left subtree on the subarray prefix to the left of the maximum value.
3. Recursively build the right subtree on the subarray suffix to the right of the maximum value.

Return  the maximum binary tree built fromnums.

 

Example 1:

Input: nums = [3,2,1,6,0,5]
Output: [6,3,5,null,2,0,null,null,1]
Explanation: The recursive calls are as follow:
- The largest value in [3,2,1,6,0,5] is 6. Left prefix is [3,2,1] and right suffix is [0,5].
    - The largest value in [3,2,1] is 3. Left prefix is [] and right suffix is [2,1].
        - Empty array, so no child.
        - The largest value in [2,1] is 2. Left prefix is [] and right suffix is [1].
            - Empty array, so no child.
            - Only one element, so child is a node with value 1.
    - The largest value in [0,5] is 5. Left prefix is [0] and right suffix is [].
        - Only one element, so child is a node with value 0.
        - Empty array, so no child.

Example 2:

Input: nums = [3,2,1]
Output: [3,null,2,null,1]

 

Constraints:

• 1 <= nums.length <= 1000
• 0 <= nums[i] <= 1000
• All integers in nums are unique.

 

这道题给了一个数组，让我们创建一个最大二叉树，创建规则是数组中的最大值为根结点，然后分隔出的左右部分再分别创建最大二叉树。那么明眼人一看就知道这是分治法啊，果断上递归啊。首先就是要先找出数组中的最大值，由于数组是无序的，所以没啥好的办法，就直接遍历吧，找到了最大值，就创建一个结点，然后将左右两个子数组提取出来，分别调用递归函数并将结果连到该结点上，最后将结点返回即可，参见代码如下：

 

解法一：

class Solution {
public:
    TreeNode* constructMaximumBinaryTree(vector<int>& nums) {
        if (nums.empty()) return NULL;
        int mx = INT_MIN, mx_idx = 0;
        for (int i = 0; i < nums.size(); ++i) {
            if (mx < nums[i]) {
                mx = nums[i];
                mx_idx = i;
            }
        }
        TreeNode *node = new TreeNode(mx);
        vector<int> leftArr = vector<int>(nums.begin(), nums.begin() + mx_idx);
        vector<int> rightArr = vector<int>(nums.begin() + mx_idx + 1, nums.end());
        node->left = constructMaximumBinaryTree(leftArr);
        node->right = constructMaximumBinaryTree(rightArr);
        return node;
    }
};

 

下面这种方法也是递归的解法，和上面的解法稍有不同的是不必提取子数组，而是用两个变量来指定子数组的范围，其他部分均和上面的解法相同，参见代码如下：

 

解法二：

class Solution {
public:
    TreeNode* constructMaximumBinaryTree(vector<int>& nums) {
        if (nums.empty()) return NULL;
        return helper(nums, 0, nums.size() - 1);
    }
    TreeNode* helper(vector<int>& nums, int left, int right) {
        if (left > right) return NULL;
        int mid = left;
        for (int i = left + 1; i <= right; ++i) {
            if (nums[i] > nums[mid]) {
                mid = i;
            }
        }
        TreeNode *node = new TreeNode(nums[mid]);
        node->left = helper(nums, left, mid - 1);
        node->right = helper(nums, mid + 1, right);
        return node;
    }
};

 

下面这种解法是论坛上的高分解法，使用到了一个辅助数组v来让保持降序。我们遍历数组，对于每个遍历到的数字，创建一个结点，然后进行循环，如果数组v不空，且末尾结点值小于当前数字，那么将末尾结点连到当前结点的左子结点，并且移除数组中的末尾结点，这样可以保证子结点都会小于父结点。循环结束后，如果此时数组v仍不为空，说明结点值很大，那么将当前结点连到数组末尾结点的右子结点上。之后别忘了将当前结点加入数组v中，最后返回数组v的首结点即可，如果不太容易理解的话，就把题目中的例子带入一步一步运行看一下吧，参见代码如下：

 

解法三：

class Solution {
public:
    TreeNode* constructMaximumBinaryTree(vector<int>& nums) {
        vector<TreeNode*> v;
        for (int num : nums) {
            TreeNode *cur = new TreeNode(num);
            while (!v.empty() && v.back()->val < num) {
                cur->left = v.back();
                v.pop_back();
            }
            if (!v.empty()) {
                v.back()->right = cur;
            }
            v.push_back(cur);
        }
        return v.front();
    }
};

 

Github 同步地址：

#654

 

类似题目：

Maximum Binary Tree II

 

参考资料： 

https://leetcode.com/problems/maximum-binary-tree/

https://leetcode.com/problems/maximum-binary-tree/discuss/106146/C%2B%2B-O(N)-solution

https://leetcode.com/problems/maximum-binary-tree/discuss/106194/javac-simple-recursive-method

https://leetcode.com/problems/maximum-binary-tree/discuss/106147/C%2B%2B-8-lines-O(n-log-n)-map-plus-stack-with-binary-search

 

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