#3153
Sum of Digit Differences of All Pairs
MediumArrayHash TableMathCountingHash MapArray
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n * d) |
| Space | O(1) | O(n) |
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Intuition
Time O(n * d)Space O(n)
Instead of comparing every pair, we can count the occurrences of each digit at each position across all numbers. This allows us to calculate the differences more efficiently by leveraging these counts.
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Algorithm
3 steps- 1Step 1: Initialize a count array for each digit position to count occurrences of digits 0-9.
- 2Step 2: For each number, update the count for each digit in its respective position.
- 3Step 3: For each digit position, calculate the contribution of that position to the total digit differences using the counts.
solution.py24 lines
1# Full working Python code
2
3def digit_difference(nums):
4 n = len(nums)
5 digit_length = len(str(nums[0]))
6 count = [[0] * 10 for _ in range(digit_length)]
7
8 # Count occurrences of each digit at each position
9 for num in nums:
10 for i, digit in enumerate(str(num)):
11 count[i][int(digit)] += 1
12
13 total_diff = 0
14
15 # Calculate total differences
16 for i in range(digit_length):
17 for d in range(10):
18 if count[i][d] > 0:
19 total_diff += count[i][d] * (n - count[i][d])
20
21 return total_diff
22
23# Example usage
24print(digit_difference([13, 23, 12])) # Output: 4ℹ
Complexity note: The time complexity is O(n * d), where n is the number of integers and d is the number of digits (which is constant for this problem). The space complexity is O(n) for the count array.
- 1Counting occurrences of each digit at each position allows for efficient calculation of differences.
- 2The digit differences can be computed independently for each digit position.
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