题目链接:https://leetcode.com/problems/linked-list-random-node/

题目:

same probability

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();


思路:

链表中随即选取一个数,直接的想法:先计算链表长度len,获取[1,len]范围内的随机数作为随机到节点的下标,遍历链表获得节点值。

考虑follow up,不确定链表长度的情况下,上述做法第一步就做不了,看了tag 是 Reservoir Sampling,搜索了一下,原来这种算法解决的就是:

在不确定范围的情况下获取随机数。    参考该算法很容易ac了。

算法:

ListNode head = null;
    /** @param head The linked list's head. Note that the head is guanranteed to be not null, so it contains at least one node. */
    public Solution(ListNode head) {
        this.head = head;
    }
    
    /** Returns a random node's value. */
    public int getRandom() {
        int choice = -1;
        int idx = 0;
        ListNode p = head;
        java.util.Random r = new java.util.Random();
        while(p!=null){
            idx++;
            int rn = r.nextInt(idx);
            if(rn==idx-1){
                choice = p.val;
            }
            p = p.next;
         
        }
        return choice;
    }