🚀Day 5. Count the number of possible triangles 🧠

The problem can be found at the following link: Question Link

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💡 Problem Description:

Given an integer array arr[], find the number of triangles that can be formed with three different array elements as the lengths of three sides of the triangle.

A triangle with three given sides is only possible if the sum of any two sides is always greater than the third side.

🔍 Example Walkthrough:

Input:

arr[] = [4, 6, 3, 7]

Output:

3

Explanation: There are three triangles possible: [3, 4, 6], [4, 6, 7], and [3, 6, 7]. Note that [3, 4, 7] is not a possible triangle.

Input:

arr[] = [10, 21, 22, 100, 101, 200, 300]

Output:

6

Explanation: There can be 6 possible triangles: [10, 21, 22], [21, 100, 101], [22, 100, 101], [10, 100, 101], [100, 101, 200], and [101, 200, 300].

Input:

arr[] = [1, 2, 3]

Output:

0

Explanation: No triangles are possible.

Constraints:

• $3 <= arr.size() <= 10^3$

• $1 <= arr[i] <= 10^5$

🎯 My Approach:

1. Sorting the Array:

   • Sort the array to make it easier to check if any three sides can form a valid triangle. Sorting ensures that we can always check for a valid triangle using the largest side as the third side.

2. Iterating through the Array:

   • After sorting the array, iterate over it in reverse order to check each possible triplet (arr[i], arr[l], arr[r]) (with l and r starting from 0 and i-1, respectively).

3. Checking Triangle Validity:

   • For each triplet, if arr[l] + arr[r] > arr[i], then the triplet can form a valid triangle. If this condition holds, increment the count of possible triangles.

4. Returning the Result:

   • The result is the final count of all valid triplets that form a triangle.

🕒 Time and Auxiliary Space Complexity

• Expected Time Complexity: O(n^2), where n is the length of the array, as we iterate over the array and check pairs of elements for each element.

• Expected Auxiliary Space Complexity: O(1), since we only use a constant amount of additional space for counters and temporary variables.

📝 Solution Code

Code (C)

int compare(const void *a, const void *b) {
    return (*(int *)a - *(int *)b);
}

int countTriangles(int arr[], int n) {
    qsort(arr, n, sizeof(int), compare);
    int count = 0;
    for (int i = n - 1; i >= 2; --i) {
        int l = 0, r = i - 1;
        while (l < r) {
            if (arr[l] + arr[r] > arr[i]) count += (r-- - l);
            else ++l;
        }
    }
    return count;
}

Code (C++)

class Solution {
public:
    int countTriangles(vector<int>& arr) {
        sort(arr.begin(), arr.end());
        int cnt = 0;
        for (int i = arr.size() - 1; i >= 2; --i)
            for (int l = 0, r = i - 1; l < r; arr[l] + arr[r] > arr[i] ? cnt += r-- - l : ++l);
        return cnt;
    }
};

Code (Java)

class Solution {
    static int countTriangles(int[] arr) {
        Arrays.sort(arr);
        int count = 0, n = arr.length;
        for (int i = n - 1; i >= 2; --i) {
            int l = 0, r = i - 1;
            while (l < r) {
                if (arr[l] + arr[r] > arr[i]) count += (r-- - l);
                else ++l;
            }
        }
        return count;
    }
}

Code (Python)

class Solution:
    def countTriangles(self, arr):
        arr.sort()
        n, count = len(arr), 0
        for i in range(n - 1, 1, -1):
            l, r = 0, i - 1
            while l < r:
                if arr[l] + arr[r] > arr[i]:
                    count += r - l
                    r -= 1
                else:
                    l += 1
        return count

🎯 Contribution and Support:

For discussions, questions, or doubts related to this solution, please visit my LinkedIn: Any Questions. Thank you for your input; together, we strive to create a space where learning is a collaborative endeavor.

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