Majority Number III

Source

Given an array of integers and a number k,
the majority number is the number that occurs more than 1/k of the size of the array.

Find it.

Example
Given [3,1,2,3,2,3,3,4,4,4] and k=3, return 3.

Note
There is only one majority number in the array.

Challenge
O(n) time and O(k) extra space

题解

Majority Number II 的升级版，有了前两道题的铺垫，此题的思路已十分明了，对 K-1个数进行相互抵消，这里不太可能使用 key1, key2...等变量，用数组使用上不太方便，且增删效率不高，故使用哈希表较为合适，当哈希表的键值数等于 K 时即进行清理，当然更准备地来讲应该是等于 K-1时清理。故此题的逻辑即为：

1. 更新哈希表，若遇哈希表 size == K 时则执行删除操作，

2. 最后遍历哈希表取真实计数器值，返回最大的 key.

Java

public class Solution {
    /**
     * @param nums: A list of integers
     * @param k: As described
     * @return: The majority number
     */
    public int majorityNumber(ArrayList<Integer> nums, int k) {
        HashMap<Integer, Integer> hash = new HashMap<Integer, Integer>();
        if (nums == null || nums.isEmpty()) return -1;

        // update HashMap
        for (int num : nums) {
            if (!hash.containsKey(num)) {
                hash.put(num, 1);
                if (hash.size() >= k) {
                    removeZeroCount(hash);
                }
            } else {
                hash.put(num, hash.get(num) + 1);
            }
        }

        // reset
        for (int key : hash.keySet()) {
            hash.put(key, 0);
        }
        for (int key : nums) {
            if (hash.containsKey(key)) {
                hash.put(key, hash.get(key) + 1);
            }
        }

        // find max
        int maxKey = -1, maxCount = 0;
        for (int key : hash.keySet()) {
            if (hash.get(key) > maxCount) {
                maxKey = key;
                maxCount = hash.get(key);
            }
        }

        return maxKey;
    }

    private void removeZeroCount(HashMap<Integer, Integer> hash) {
        Set<Integer> keySet = hash.keySet();
        for (int key : keySet) {
            hash.put(key, hash.get(key) - 1);
        }

        /* solution 1 */
        Iterator<Map.Entry<Integer, Integer>> it = hash.entrySet().iterator();
        while (it.hasNext()) {
            Map.Entry<Integer, Integer> entry = it.next();
            if(entry.getValue() == 0) {
                it.remove();
            }
        }

        /* solution 2 */
        // List<Integer> removeList = new ArrayList<>();
        // for (int key : keySet) {
        //     hash.put(key, hash.get(key) - 1);
        //     if (hash.get(key) == 0) {
        //         removeList.add(key);
        //     }
        // }
        // for (Integer key : removeList) {
        //     hash.remove(key);
        // }

        /* solution3 lambda expression for Java8 */
    }
}

源码分析

此题的思路不算很难，但是实现起来还是有点难度的，Java 中删除哈希表时需要考虑线程安全。

复杂度分析

时间复杂度 O(n), 使用了哈希表，空间复杂度 O(k).