题目 给你四个整数数组 nums1、nums2、nums3 和 nums4 ,数组长度都是 n ,请你计算有多少个元组 (i, j, k, l) 能满足: 0 = i, j, k, l n nums1[i] + nums2[j] + nums3[k] + nums4[l] == 0 示例 1: 输入:nums1 =
题目
给你四个整数数组 nums1、nums2、nums3 和 nums4 ,数组长度都是 n ,请你计算有多少个元组 (i, j, k, l) 能满足:
0 <= i, j, k, l < n
nums1[i] + nums2[j] + nums3[k] + nums4[l] == 0
示例 1:
输入:nums1 = [1,2], nums2 = [-2,-1], nums3 = [-1,2], nums4 = [0,2]
输出:2
解释:
两个元组如下:
- (0, 0, 0, 1) -> nums1[0] + nums2[0] + nums3[0] + nums4[1] = 1 + (-2) + (-1) + 2 = 0
- (1, 1, 0, 0) -> nums1[1] + nums2[1] + nums3[0] + nums4[0] = 2 + (-1) + (-1) + 0 = 0
来源:力扣(LeetCode)
链接:https://leetcode-cn.com/problems/4sum-ii
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Java实现(双for + HashMap)
package LC.hash;
import java.util.HashMap;
import java.util.Map;
public class LC454 {
public static void main(String[] args) {
int[] nums1 = {1, 2};
int[] nums2 = {-2, -1};
int[] nums3 = {-1, 2};
int[] nums4 = {0, 2};
System.out.println(fourSumCount(nums1, nums2, nums3, nums4));
}
public static int fourSumCount(int[] A, int[] B, int[] C, int[] D) {
Map<Integer, Integer> map = new HashMap<>();
int res = 0;
for (int i = 0; i < A.length; i++) {
for (int j = 0; j < B.length; j++) {
int sumAB = A[i] + B[j];
if (map.containsKey(sumAB))
map.put(sumAB, map.get(sumAB) + 1);
else map.put(sumAB, 1);
}
}
for (int i = 0; i < C.length; i++) {
for (int j = 0; j < D.length; j++) {
int sumCD = -(C[i] + D[j]);
if (map.containsKey(sumCD))
res += map.get(sumCD);
}
}
return res;
}
}
Python实现
class Solution:
def fourSumCount(self, A: List[int], B: List[int], C: List[int], D: List[int]) -> int:
countAB = collections.Counter(u + v for u in A for v in B)
ans = 0
for u in C:
for v in D:
if -u -v in countAB:
ans = ans + countAB[-u -v]
return ans
总结
看到形如:A+B....+N = 0 的式子,
要转换为(A+...T)=-((T+1)...+N)再计算,这个T的分割点一般是一半,特殊情况下需要自行判断。
定T是解题的关键。
就这这个醋包了这顿饺子import java.util.HashMap;
class Solution {
private static class Node {
int value;
int count;
Node next;
public Node(int value) {
this.value = value;
this.count = 1;
}
public Node(int value, Node next) {
this.value = value;
this.count = 1;
this.next = next;
}
}
private static class Map {
Node[] table;
public Map(int initalCapacity) {
if (initalCapacity < 16) {
initalCapacity = 16;
} else {
initalCapacity = Integer.highestOneBit(initalCapacity - 1) << 1;
}
table = new Node[initalCapacity];
}
// 拷贝的HashMap的hash方法
private int hash(int value) {
if (value < 0) {
value = -value;
}
int h;
return (value == 0) ? 0 : (h = value) ^ (h >>> 16);
}
public void put(int value) {
int tableIndex = hash(value) & table.length - 1;
Node head = table[tableIndex];
if (head == null) {
table[tableIndex] = new Node(value);
return;
}
Node cur = head;
while (cur != null) {
if (cur.value == value) {
cur.count++;
return;
}
cur = cur.next;
}
// 头插法
table[tableIndex] = new Node(value, head);
}
public int getCount(int value) {
int tableIndex = hash(value) & table.length - 1;
Node head = table[tableIndex];
if (head == null) {
return 0;
}
Node cur = head;
while (cur != null) {
if (cur.value == value) {
return cur.count;
}
cur = cur.next;
}
return 0;
}
}
public int fourSumCount(int[] A, int[] B, int[] C, int[] D) {
// 避免扩容, 初始化一个最大初始容量
Map abMap = new Map(A.length * B.length);
for (int a : A) {
for (int b : B) {
abMap.put(a + b);
}
}
int res = 0;
for (int c : C) {
for (int d : D) {
res += abMap.getCount(-c - d);
}
}
return res;
}
}