Given a singly linked list, return a random node’s value from the linked list. Each node must have the same probability of being chosen.
Follow up:
What if the linked list is extremely large and its length is unknown to you? Could you solve this efficiently without using extra space?
Example:
// Init a singly linked list [1,2,3]. ListNode head = new ListNode(1); head.next = new ListNode(2); head.next.next = new ListNode(3); Solution solution = new Solution(head); // getRandom() should return either 1, 2, or 3 randomly. Each element should have equal probability of returning. solution.getRandom();
这道题给了我们一个链表,让我们随机返回一个节点,那么最直接的方法就是先统计出链表的长度,然后根据长度随机生成一个位置,然后从开头遍历到这个位置即可,参见代码如下:
解法一:
class Solution { public: /** @param head The linked list's head. Note that the head is guanranteed to be not null, so it contains at least one node. */ Solution(ListNode* head) { len = 0; ListNode *cur = head; this->head = head; while (cur) { ++len; cur = cur->next; } } /** Returns a random node's value. */ int getRandom() { int t = rand() % len; ListNode *cur = head; while (t) { --t; cur = cur->next; } return cur->val; } private: int len; ListNode *head; };
Follow up中说链表可能很长,我们没法提前知道长度,这里用到了著名了水塘抽样Reservoir Sampling的思路,由于限定了head一定存在,所以我们先让返回值res等于head的节点值,然后让cur指向head的下一个节点,定义一个变量i,初始化为2,若cur不为空我们开始循环,我们在[0, i – 1]中取一个随机数,如果取出来0,那么我们更新res为当前的cur的节点值,然后此时i自增一,cur指向其下一个位置,这里其实相当于我们维护了一个大小为1的水塘,然后我们随机数生成为0的话,我们交换水塘中的值和当前遍历到的值,这样可以保证每个数字的概率相等,参见代码如下:
解法二:
class Solution { public: /** @param head The linked list's head. Note that the head is guanranteed to be not null, so it contains at least one node. */ Solution(ListNode* head) { this->head = head; } /** Returns a random node's value. */ int getRandom() { int res = head->val, i = 2; ListNode *cur = head->next; while (cur) { int j = rand() % i; if (j == 0) res = cur->val; ++i; cur = cur->next; } return res; } private: ListNode *head; };
参考资料:
https://discuss.leetcode.com/topic/53812/using-reservoir-sampling-o-1-space-o-n-time-complexity-c