本文介绍了使用时间~O(N)在数组中查找最大不可重复值的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我们如何在时间中找到数组中的最大不可重复值~O(N)
How we could find max non-repeatable value in the array with a time ~O(N)
我试图在很长一段时间内完成它,但是我仅发现~O(2N):
I was trying to do it during huge time, but I found only ~O(2N):
int solution(int[] A) {
List<Integer> arr = new ArrayList<Integer>();
Set<Integer> set = new HashSet<Integer>();
int max = 0;
for(int i = 0; i < A.length; i++) {
if(!set.add(A[i])) arr.add(A[i]);
}
for(int i = 0; i < A.length; i++) {
if (max < A[i] && !arr.contains(A[i])) max = A[i];
}
return max;
}
我们可以加快一点吗?!
Could we do it a little bit faster?!
推荐答案
int A[] = {5, 5, 3, 2, 3, 1};
Map<Integer, Integer> map = new HashMap<>();
for(int i : A) {
Integer count = map.get(i);
// according to the comments
// map.merge(i, 1, Integer::sum)
map.put(i, count == null ? 1 : count + 1);
}
int max = 0;
for (Map.Entry<Integer, Integer> e : map.entrySet()) {
if (e.getValue() == 1 && max < e.getKey()) {
max = e.getKey();
}
}
System.out.println(max);
在此您将每个数字映射到数组中的数字。
Here you map each number to a number of times it present in the array.
在这种情况下,复杂度为O(n)。
In this case complexity is O(n).
并且只有整数可能是最快的实现
And just out of integer possible the fastest implementation possible
// this code for academic purpose only
// it can work only with integers less than
// 2^nextPowerOfTwo(array.lenght) as
// hash collision doesn't resolved
public static int nextPowerOfTwo(int value) {
value--;
value |= value >> 1;
value |= value >> 2;
value |= value >> 4;
value |= value >> 8;
value |= value >> 16;
return ++value;
}
public static int findMaxUnique(int[] array) {
final int hashSize = nextPowerOfTwo(array.length);
final int[] hashArray = new int[hashSize];
for (int n : array) {
int hash = n ^ (n >>> 16);
hash &= hashSize - 1;
hashArray[hash]++;
}
int max = 0;
for (int n : array) {
int hash = n ^ (n >>> 16);
hash &= hashSize - 1;
if (hashArray[hash] == 1 && max < n) {
max = n;
}
}
return max;
}
public static void main(String[] args) {
int[] array = {5, 4, 5, 3, 1, 5, 4, 0};
System.out.println(findMaxUnique(array));
}
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