Linked List Random Node

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();

思路
蓄水池原理

1. 從頭到尾遍歷鏈表
2. 在遍歷1~i個結(jié)點時，直接放進結(jié)果集
3. 遍歷到第k（k > i）個結(jié)點時团甲，以i/k的概率決定是否將結(jié)點i放進結(jié)果集逾冬。如果不放，直接忽略躺苦。如果放身腻，就從結(jié)果集的i個結(jié)點中隨機取出一個，替換為結(jié)點k
4. 重復3匹厘，一直到尾節(jié)點霸株。

/**
 * Definition for singly-linked list.
 * public class ListNode {
 *     int val;
 *     ListNode next;
 *     ListNode(int x) { val = x; }
 * }
 */
class Solution {
    ListNode head = null;

    /** @param head The linked list's head.
        Note that the head is guaranteed 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() {
        ListNode result = this.head;
        ListNode curNode = this.head;
        Random random = new Random();
        
        for (int i = 1; curNode != null; i++) {
            if (random.nextInt(i) == i - 1) {
                result = curNode;
            }
            curNode = curNode.next;
        }
        return result.val;
    }
}
/**
 * Your Solution object will be instantiated and called as such:
 * Solution obj = new Solution(head);
 * int param_1 = obj.getRandom();
 */

Random Pick Index

Given an array of integers with possible duplicates, randomly output the index of a given target number. You can assume that the given target number must exist in the array.

Note:
The array size can be very large. Solution that uses too much extra space will not pass the judge.

Example:

int[] nums = new int[] {1,2,3,3,3};
Solution solution = new Solution(nums);

// pick(3) should return either index 2, 3, or 4 randomly. Each index should have equal probability of returning.
solution.pick(3);

// pick(1) should return 0. Since in the array only nums[0] is equal to 1.
solution.pick(1);

思路
Use random to ensure equal possibility, key point is save extra space.

1. Create arraylist to store all index of target, and count total.
2. Then use random from [0,total), to equally pick any element in the array.

Complexity: O(N)time O(m)space - # of target in nuts

class Solution {
    private int[] nums;

    public Solution(int[] nums) {
        this.nums = nums;
    }
    
    public int pick(int target) {
        List<Integer> list = new ArrayList<Integer>();
        int count = 0;
        int result = -1;
        
        for (int i = 0; i < nums.length; i++) {
            if (nums[i] == target) {
                count++;
                list.add(i);
            }
        }
        
        Random random = new Random();
        result = list.get(random.nextInt(count));
        return result;
    }
}

/**
 * Your Solution object will be instantiated and called as such:
 * Solution obj = new Solution(nums);
 * int param_1 = obj.pick(target);
 */