1213. Intersection of Three Sorted Arrays π ο
Descriptionο
Given three integer arrays arr1
, arr2
and arr3
sorted in strictly increasing order, return a sorted array of only the integers that appeared in all three arrays.
Example 1:
Input: arr1 = [1,2,3,4,5], arr2 = [1,2,5,7,9], arr3 = [1,3,4,5,8] Output: [1,5] Explanation: Only 1 and 5 appeared in the three arrays.
Example 2:
Input: arr1 = [197,418,523,876,1356], arr2 = [501,880,1593,1710,1870], arr3 = [521,682,1337,1395,1764] Output: []
Constraints:
1 <= arr1.length, arr2.length, arr3.length <= 1000
1 <= arr1[i], arr2[i], arr3[i] <= 2000
Solutionsο
Solution 1: Countingο
Traverse the three arrays, count the occurrence of each number, then traverse any one of the arrays. If the count of a number is $3$, add it to the result array.
The time complexity is $O(n)$, and the space complexity is $O(m)$. Here, $n$ and $m$ are the length of the array and the range of numbers in the array, respectively.
Python3ο
class Solution:
def arraysIntersection(
self, arr1: List[int], arr2: List[int], arr3: List[int]
) -> List[int]:
cnt = Counter(arr1 + arr2 + arr3)
return [x for x in arr1 if cnt[x] == 3]
Javaο
class Solution {
public List<Integer> arraysIntersection(int[] arr1, int[] arr2, int[] arr3) {
List<Integer> ans = new ArrayList<>();
int[] cnt = new int[2001];
for (int x : arr1) {
++cnt[x];
}
for (int x : arr2) {
++cnt[x];
}
for (int x : arr3) {
if (++cnt[x] == 3) {
ans.add(x);
}
}
return ans;
}
}
C++ο
class Solution {
public:
vector<int> arraysIntersection(vector<int>& arr1, vector<int>& arr2, vector<int>& arr3) {
vector<int> ans;
int cnt[2001]{};
for (int x : arr1) {
++cnt[x];
}
for (int x : arr2) {
++cnt[x];
}
for (int x : arr3) {
if (++cnt[x] == 3) {
ans.push_back(x);
}
}
return ans;
}
};
Goο
func arraysIntersection(arr1 []int, arr2 []int, arr3 []int) (ans []int) {
cnt := [2001]int{}
for _, x := range arr1 {
cnt[x]++
}
for _, x := range arr2 {
cnt[x]++
}
for _, x := range arr3 {
cnt[x]++
if cnt[x] == 3 {
ans = append(ans, x)
}
}
return
}
PHPο
class Solution {
/**
* @param Integer[] $arr1
* @param Integer[] $arr2
* @param Integer[] $arr3
* @return Integer[]
*/
function arraysIntersection($arr1, $arr2, $arr3) {
$rs = [];
$arr = array_merge($arr1, $arr2, $arr3);
for ($i = 0; $i < count($arr); $i++) {
$hashtable[$arr[$i]] += 1;
if ($hashtable[$arr[$i]] === 3) {
array_push($rs, $arr[$i]);
}
}
return $rs;
}
}
Solution 2: Binary Searchο
Traverse the first array. For each number, use binary search to find this number in the second and third arrays. If found in both, add this number to the result array.
The time complexity is $O(n \times \log n)$, and the space complexity is $O(1)$. Here, $n$ is the length of the array.
Python3ο
class Solution:
def arraysIntersection(
self, arr1: List[int], arr2: List[int], arr3: List[int]
) -> List[int]:
ans = []
for x in arr1:
i = bisect_left(arr2, x)
j = bisect_left(arr3, x)
if i < len(arr2) and j < len(arr3) and arr2[i] == x and arr3[j] == x:
ans.append(x)
return ans
Javaο
class Solution {
public List<Integer> arraysIntersection(int[] arr1, int[] arr2, int[] arr3) {
List<Integer> ans = new ArrayList<>();
for (int x : arr1) {
int i = Arrays.binarySearch(arr2, x);
int j = Arrays.binarySearch(arr3, x);
if (i >= 0 && j >= 0) {
ans.add(x);
}
}
return ans;
}
}
C++ο
class Solution {
public:
vector<int> arraysIntersection(vector<int>& arr1, vector<int>& arr2, vector<int>& arr3) {
vector<int> ans;
for (int x : arr1) {
auto i = lower_bound(arr2.begin(), arr2.end(), x);
auto j = lower_bound(arr3.begin(), arr3.end(), x);
if (*i == x && *j == x) {
ans.push_back(x);
}
}
return ans;
}
};
Goο
func arraysIntersection(arr1 []int, arr2 []int, arr3 []int) (ans []int) {
for _, x := range arr1 {
i := sort.SearchInts(arr2, x)
j := sort.SearchInts(arr3, x)
if i < len(arr2) && j < len(arr3) && arr2[i] == x && arr3[j] == x {
ans = append(ans, x)
}
}
return
}