C++实现LeetCode(109.将有序链表转为二叉搜索树)
作者：Grandyang
[LeetCode] 109.Convert Sorted List to Binary Search Tree 将有序链表转为二叉搜索树
Given a singly linked list where elements are sorted in ascending order, convert it to a height balanced BST.
For this problem, a height-balanced binary tree is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1.
Example:
Given the sorted linked list: [-10,-3,0,5,9],
One possible answer is: [0,-3,9,-10,null,5], which represents the following height balanced BST:
0
/ \
-3 9
/ /
-10 5
这道题是要求把有序链表转为二叉搜索树，和之前那道 Convert Sorted Array to Binary Search Tree 思路完全一样，只不过是操作的数据类型有所差别，一个是数组，一个是链表。数组方便就方便在可以通过index直接访问任意一个元素，而链表不行。由于二分查找法每次需要找到中点，而链表的查找中间点可以通过快慢指针来操作，可参见之前的两篇博客 Reorder List 和 Linked List Cycle II 有关快慢指针的应用。找到中点后，要以中点的值建立一个数的根节点，然后需要把原链表断开，分为前后两个链表，都不能包含原中节点，然后再分别对这两个链表递归调用原函数，分别连上左右子节点即可。代码如下：
解法一：
class Solution {
public:
TreeNode *sortedListToBST(ListNode* head) {
if (!head) return NULL;
if (!head->next) return new TreeNode(head->val);
ListNode *slow = head, *fast = head, *last = slow;
while (fast->next && fast->next->next) {
last = slow;
slow = slow->next;
fast = fast->next->next;
}
fast = slow->next;
last->next = NULL;
TreeNode *cur = new TreeNode(slow->val);
if (head != slow) cur->left = sortedListToBST(head);
cur->right = sortedListToBST(fast);
return cur;
}
};
我们也可以采用如下的递归方法，重写一个递归函数，有两个输入参数，子链表的起点和终点，因为知道了这两个点，链表的范围就可以确定了，而直接将中间部分转换为二叉搜索树即可，递归函数中的内容跟上面解法中的极其相似，参见代码如下：
解法二：
class Solution {
public:
TreeNode* sortedListToBST(ListNode* head) {
if (!head) return NULL;
return helper(head, NULL);
}
TreeNode* helper(ListNode* head, ListNode* tail) {
if (head == tail) return NULL;
ListNode *slow = head, *fast = head;
while (fast != tail && fast->next != tail) {
slow = slow->next;
fast = fast->next->next;
}
TreeNode *cur = new TreeNode(slow->val);
cur->left = helper(head, slow);
cur->right = helper(slow->next, tail);
return cur;
}
};
类似题目：
Convert Sorted Array to Binary Search Tree
参考资料：
https://leetcode.com/problems/convert-sorted-list-to-binary-search-tree/
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