LeetCode Problem Workspace
Sum of Digits in Base K
Calculate the sum of digits of a number after converting it from base 10 to any given base using a math-driven approach.
1
Topics
8
Code langs
3
Related
Practice Focus
Easy · Math-driven solution strategy
Answer-first summary
Calculate the sum of digits of a number after converting it from base 10 to any given base using a math-driven approach.
Ace coding interviews with Interview AiBoxInterview AiBox guidance for Math-driven solution strategy
This problem requires converting a base 10 integer into base k and summing its digits in base 10. Start by repeatedly dividing the number by k and accumulating the remainders. The key is recognizing that each remainder represents a digit in base k and summing them yields the correct result without complex data structures.
Problem Statement
Given an integer n in base 10 and a target base k, convert n into base k and compute the sum of its digits. Each digit is interpreted in base 10 and added together to produce the final sum.
For example, if n = 34 and k = 6, 34 in base 6 is 54. Summing its digits, 5 + 4, results in 9. The solution should handle any n and k within the constraints and return the sum efficiently.
Examples
Example 1
Input: n = 34, k = 6
Output: 9
34 (base 10) expressed in base 6 is 54. 5 + 4 = 9.
Example 2
Input: n = 10, k = 10
Output: 1
n is already in base 10. 1 + 0 = 1.
Constraints
- 1 <= n <= 100
- 2 <= k <= 10
Solution Approach
Iterative Division and Remainder
Repeatedly divide n by k and collect remainders. Each remainder represents a digit in base k. Sum all remainders to get the final result.
Direct Mathematical Formula
While conversion is simplest iteratively, recognize that the sum of digits can be built mathematically using modulus and integer division in a loop, avoiding strings or arrays.
Edge Case Handling
Ensure n less than k returns n itself. Check small n like 1 or n equal to k multiples. These can produce off-by-one errors if handled incorrectly.
Complexity Analysis
| Metric | Value |
|---|---|
| Time | Depends on the final approach |
| Space | Depends on the final approach |
Time complexity is O(log_k(n)) because each division reduces n by a factor of k. Space complexity is O(1) if only using integer variables, or O(log_k(n)) if storing digits in an array for summation.
What Interviewers Usually Probe
- Candidate should immediately identify the need for base conversion.
- Look for correct use of modulus and integer division for digit extraction.
- Ensure the candidate handles edge cases where n < k or n is a multiple of k.
Common Pitfalls or Variants
Common pitfalls
- Attempting to convert n to a string in base k incorrectly, which can produce wrong sums.
- Forgetting to sum digits as base 10 numbers instead of characters or strings.
- Overcomplicating the solution by using arrays or recursion when a simple loop suffices.
Follow-up variants
- Sum of digits in base k for very large n, requiring optimized iteration.
- Compute the sum of squares of digits in base k instead of the sum.
- Apply the same digit-sum logic for negative numbers using absolute values.
FAQ
How do I convert a number to base k for this problem?
Use repeated integer division and modulus operations. Each remainder is a digit in base k.
Why is the sum of digits interpreted in base 10?
Even after conversion to base k, each digit is considered a standard number for addition.
Can I use strings or arrays to solve this problem?
Yes, but it is more efficient and cleaner to sum digits using modulus and division without extra storage.
What edge cases should I watch for in Sum of Digits in Base K?
Cases where n < k or n is a multiple of k can lead to errors if not handled correctly.
Is there a faster way than iterative division?
For this problem's constraints, iterative division is already efficient, and alternative formulas do not improve complexity significantly.
Solution
Solution 1: Mathematics
We divide $n$ by $k$ and take the remainder until it is $0$. The sum of the remainders gives the result.
class Solution:
def sumBase(self, n: int, k: int) -> int:
ans = 0
while n:
ans += n % k
n //= k
return ansContinue Topic
math
Practice more edge cases under the same topic.
arrow_forwardauto_awesomeContinue Pattern
Math-driven solution strategy
Expand the same solving frame across more problems.
arrow_forwardsignal_cellular_altSame Difficulty Track
Easy
Stay on this level to stabilize interview delivery.
arrow_forward