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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).