LeetCode 829 - Consecutive Numbers Sum


https://leetcode.com/problems/consecutive-numbers-sum/description/
Given a positive integer N, how many ways can we write it as a sum of consecutive positive integers?
Example 1:
Input: 5
Output: 2
Explanation: 5 = 5 = 2 + 3
Example 2:
Input: 9
Output: 3
Explanation: 9 = 9 = 4 + 5 = 2 + 3 + 4
Example 3:
Input: 15
Output: 4
Explanation: 15 = 15 = 8 + 7 = 4 + 5 + 6 = 1 + 2 + 3 + 4 + 5
Note: 1 <= N <= 10 ^ 9.
N can be expressed as k + 1, k + 2, ..., k + i, therefore
N = k * i + (i + 1) * i / 2 =>
N - (i + 1) * i / 2 = k * i
Since N can always be written as N, we can start from i = 2, ans = 1.
    public int consecutiveNumbersSum(int N) {
        int ans = 1;
        for (int i = 2; i * (i + 1) / 2 <= N; ++i) {
            if ((N - i * (i + 1) / 2) % i == 0) ++ans;
        }
        return ans;
    }

As in Approach #22*N = k(2*x + k + 1) with x \geq 0, k \geq 1. Call k the first factor, and 2*x + k + 1the second factor. We are looking for ways to solve this equation without trying all 2*N possibilities.
Now notice that the parity of k and (2*x + k + 1) are different. That is, if k is even then the other quantity is odd, and vice versa. Also, 2*x + k + 1 \geq k + 1 > k, so the second factor must be bigger.
Now write 2N = 2^\alpha * M where M is odd. If we factor M = a * b, then two candidate solutions are k = a, 2x+k+1 = b * 2^\alpha, or k = a * 2^\alpha, 2x+k+1 = b. However, only one of these solutions will have the second factor larger than the first. (Because \alpha \geq 1, we are guaranteed that one factor is strictly larger.)
Thus, the answer is the number of ways to factor the odd part of N.
  • Time Complexity: O(\sqrt(N)).
  • Space Complexity: O(1).
    public int consecutiveNumbersSum(int N) {
        while ((N & 1) == 0) N >>= 1;
        int ans = 1, d = 3;

        while (d * d <= N) {
            int e = 0;
            while (N % d == 0) {
                N /= d;
                e++;
            }
            ans *= e + 1;
            d += 2;
        }

        if (N > 1) ans <<= 1;
        return ans;
    }


We can model the situation by the equation N = (x+1) + (x+2) + \cdots + (x+k). Here, x \geq 0, k \geq 1. Using the identity 1 + 2 + \cdots + k = \frac{k(k+1)}{2}, we can simplify this equation to 2*N = k(2*x + k + 1).
From here, clearly 1 \leq k \leq 2*N. We can try every such k. We need x = \frac{\frac{2*N}{k} - k - 1}{2} to be a non-negative integer for a solution to exist for the k we are trying.
    public int consecutiveNumbersSum(int N) {
        // 2N = k(2x + k + 1)
        int ans = 0;
        for (int k = 1; k <= 2*N; ++k)
            if (2 * N % k == 0) {
                int y = 2 * N / k - k - 1;
                if (y % 2 == 0 && y >= 0)
                    ans++;
            }
        return ans;
    }

Time Complexity: O(N^2).
    public int consecutiveNumbersSum(int N) {
        int ans = 0;
        for (int start = 1; start <= N; ++start) {
            int target = N, x = start;
            while (target > 0)
                target -= x++;
            if (target == 0) ans++;
        }
        return ans;
    }

public int consecutiveNumbersSum(int N) {
  if (N < 0)
    return 0;
  int total = 1;

  for (int len = 2; len <= Math.ceil(N / 2d) + 1; len++) {
    if (len % 2 == 1) {
      if (N % len == 0 && N / len - len / 2 > 0) {
        ++total;
      }
    } else {
      // len even
      if (N % len != 0) {
        int num = N / len;
        if (num - len / 2 + 1 <= 0) // BUG
          // continue; //proof
          break;
        long expectSum = (2 * num + 1) * len / 2;
        if (expectSum == N) {
          ++total;
        }
      }
    }
  }
  return total;
}



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