#2544
Alternating Digit Sum
EasyMathMathArray
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n) | O(n) |
| Space | O(1) | O(1) |
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Intuition
Time O(n)Space O(1)
The optimal solution leverages the same logic as the brute force but avoids the overhead of string manipulation. Instead, we directly work with the number by extracting digits using modulus and division.
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Algorithm
6 steps- 1Step 1: Initialize total_sum to 0 and sign to 1.
- 2Step 2: While n is greater than 0, extract the last digit using n % 10.
- 3Step 3: Add the digit multiplied by sign to total_sum.
- 4Step 4: Alternate the sign by multiplying by -1.
- 5Step 5: Remove the last digit from n by performing integer division n //= 10.
- 6Step 6: Return total_sum after processing all digits.
solution.py11 lines
1# Full working Python code
2
3def alternating_digit_sum(n):
4 total_sum = 0
5 sign = 1
6 while n > 0:
7 digit = n % 10
8 total_sum += sign * digit
9 sign *= -1 # Alternate sign
10 n //= 10 # Remove last digit
11 return total_sumℹ
Complexity note: The time complexity remains O(n) as we still process each digit once. The space complexity is O(1) since we only use a fixed number of variables.
- 1Understanding how to manipulate digits directly can lead to more efficient solutions.
- 2Recognizing patterns in alternating sums can simplify the implementation.
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