3404. Count Special Subsequences LeetCode Solution
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Table of Contents
- Problem Statement
- Complexity Analysis
- Count Special Subsequences solution in C++
- Count Special Subsequences solution in Java
- Count Special Subsequences solution in Python
- Additional Resources

Problem Statement of Count Special Subsequences
You are given an array nums consisting of positive integers.
A special subsequence is defined as a subsequence of length 4, represented by indices (p, q, r, s), where p < q < r 1, r – q > 1 and s – r > 1.
Return the number of different special subsequences in nums.
Example 1:
Input: nums = [1,2,3,4,3,6,1]
Output: 1
Explanation:
There is one special subsequence in nums.
(p, q, r, s) = (0, 2, 4, 6):
This corresponds to elements (1, 3, 3, 1).
nums[p] * nums[r] = nums[0] * nums[4] = 1 * 3 = 3
nums[q] * nums[s] = nums[2] * nums[6] = 3 * 1 = 3
Example 2:
Input: nums = [3,4,3,4,3,4,3,4]
Output: 3
Explanation:
There are three special subsequences in nums.
(p, q, r, s) = (0, 2, 4, 6):
This corresponds to elements (3, 3, 3, 3).
nums[p] * nums[r] = nums[0] * nums[4] = 3 * 3 = 9
nums[q] * nums[s] = nums[2] * nums[6] = 3 * 3 = 9
(p, q, r, s) = (1, 3, 5, 7):
This corresponds to elements (4, 4, 4, 4).
nums[p] * nums[r] = nums[1] * nums[5] = 4 * 4 = 16
nums[q] * nums[s] = nums[3] * nums[7] = 4 * 4 = 16
(p, q, r, s) = (0, 2, 5, 7):
This corresponds to elements (3, 3, 4, 4).
nums[p] * nums[r] = nums[0] * nums[5] = 3 * 4 = 12
nums[q] * nums[s] = nums[2] * nums[7] = 3 * 4 = 12
Constraints:
7 <= nums.length <= 1000
1 <= nums[i] <= 1000
Complexity Analysis
- Time Complexity: O(n^2 \cdot \max(\texttt{nums}))
- Space Complexity: O(n)
3404. Count Special Subsequences LeetCode Solution in C++
class Solution {
public:
long long numberOfSubsequences(vector<int>& nums) {
const int n = nums.size();
const int mx = ranges::max(nums);
long ans = 0;
vector<vector<int>> count(mx + 1, vector<int>(mx + 1));
// nums[p] * nums[r] == nums[q] * nums[s]
// nums[p] / nums[q] == nums[s] / nums[r]
for (int r = 4; r <= n - 1 - 2; ++r) {
const int q = r - 2;
for (int p = 0; p <= q - 2; ++p) {
const int g = gcd(nums[p], nums[q]);
++count[nums[p] / g][nums[q] / g];
}
for (int s = r + 2; s < n; ++s) {
const int g = gcd(nums[s], nums[r]);
ans += count[nums[s] / g][nums[r] / g];
}
}
return ans;
}
};
/* code provided by PROGIEZ */
3404. Count Special Subsequences LeetCode Solution in Java
class Solution {
public long numberOfSubsequences(int[] nums) {
final int n = nums.length;
final int mx = Arrays.stream(nums).max().getAsInt();
long ans = 0;
int[][] count = new int[mx + 1][mx + 1];
// nums[p] * nums[r] == nums[q] * nums[s]
// nums[p] / nums[q] == nums[s] / nums[r]
for (int r = 4; r <= n - 1 - 2; ++r) {
final int q = r - 2;
for (int p = 0; p <= q - 2; ++p) {
final int g = gcd(nums[p], nums[q]);
++count[nums[p] / g][nums[q] / g];
}
for (int s = r + 2; s < n; ++s) {
final int g = gcd(nums[s], nums[r]);
ans += count[nums[s] / g][nums[r] / g];
}
}
return ans;
}
private int gcd(int a, int b) {
return b == 0 ? a : gcd(b, a % b);
}
}
// code provided by PROGIEZ
3404. Count Special Subsequences LeetCode Solution in Python
class Solution:
def numberOfSubsequences(self, nums: list[int]) -> int:
n = len(nums)
mx = max(nums)
ans = 0
count = [[0] * (mx + 1) for _ in range(mx + 1)]
# nums[p] * nums[r] == nums[q] * nums[s]
# nums[p] / nums[q] == nums[s] / nums[r]
for r in range(4, n - 1 - 2 + 1):
q = r - 2
for p in range(0, q - 2 + 1):
g = math.gcd(nums[p], nums[q])
count[nums[p] // g][nums[q] // g] += 1
for s in range(r + 2, n):
g = math.gcd(nums[s], nums[r])
ans += count[nums[s] // g][nums[r] // g]
return ans
# code by PROGIEZ
Additional Resources
- Explore all LeetCode problem solutions at Progiez here
- Explore all problems on LeetCode website here
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