Difference Between Element Sum and Digit Sum of an Array

Easy
#2315Time: O(N * D), where N is the length of the array and D is the maximum number of digits in a number. While asymptotically similar to other approaches, the constant factors are higher due to string operations, making it slower in practice.Space: O(D), for storing the string representation of a number. Since D, the maximum number of digits, is small and constant (max 4 for numbers up to 2000), this is effectively O(1) space.
Patterns
Data structures

Prompt

You are given a positive integer array nums.

  • The element sum is the sum of all the elements in nums.
  • The digit sum is the sum of all the digits (not necessarily distinct) that appear in nums.

Return the absolute difference between the element sum and digit sum of nums.

Note that the absolute difference between two integers x and y is defined as |x - y|.

 

Example 1:

Input: nums = [1,15,6,3]
Output: 9
Explanation: 
The element sum of nums is 1 + 15 + 6 + 3 = 25.
The digit sum of nums is 1 + 1 + 5 + 6 + 3 = 16.
The absolute difference between the element sum and digit sum is |25 - 16| = 9.

Example 2:

Input: nums = [1,2,3,4]
Output: 0
Explanation:
The element sum of nums is 1 + 2 + 3 + 4 = 10.
The digit sum of nums is 1 + 2 + 3 + 4 = 10.
The absolute difference between the element sum and digit sum is |10 - 10| = 0.

 

Constraints:

  • 1 <= nums.length <= 2000
  • 1 <= nums[i] <= 2000

Approaches

3 approaches with complexity analysis and trade-offs.

This is a straightforward but least efficient approach. It calculates the element sum by iterating through the array. For the digit sum, it converts each number to a string and then iterates through the characters of the string, summing up their numeric values. This method is generally slower due to the overhead associated with string manipulation.

Algorithm

  • Initialize elementSum and digitSum to 0.
  • Iterate through each number num in the input array nums.
  • Add the num to elementSum.
  • Convert num to its string representation.
  • Iterate through each character of the string.
  • Convert the character back to an integer (e.g., c - '0') and add it to digitSum.
  • After the loop, return the absolute difference between elementSum and digitSum.

Walkthrough

This approach calculates the digit sum by first converting each number into its string representation. Then, it iterates through the characters of the string, converts each character back to a digit, and adds it to the digit sum. The element sum can be calculated in the same loop or a separate one. While intuitive, this method is generally slower due to the overhead associated with string manipulation.

Here is an implementation combining both calculations in a single loop:

class Solution {    public int differenceOfSum(int[] nums) {        int elementSum = 0;        int digitSum = 0;         for (int num : nums) {            elementSum += num;                        String s = String.valueOf(num);            for (char c : s.toCharArray()) {                digitSum += c - '0';            }        }         return Math.abs(elementSum - digitSum);    }}

Complexity

Time

O(N * D), where N is the length of the array and D is the maximum number of digits in a number. While asymptotically similar to other approaches, the constant factors are higher due to string operations, making it slower in practice.

Space

O(D), for storing the string representation of a number. Since D, the maximum number of digits, is small and constant (max 4 for numbers up to 2000), this is effectively O(1) space.

Trade-offs

Pros

  • The logic for extracting digits might be intuitive for those familiar with string manipulation.

Cons

  • Significantly less performant than arithmetic-based approaches due to the overhead of string creation and character parsing.

Solutions

class Solution {public  int differenceOfSum(int[] nums) {    int a = 0, b = 0;    for (int x : nums) {      a += x;      for (; x > 0; x /= 10) {        b += x % 10;      }    }    return Math.abs(a - b);  }}

Video walkthrough

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