LeetCode Problem Workspace
Convert to Base -2
Convert any non-negative integer into its base -2 representation using a math-driven iterative remainder strategy.
1
Topics
7
Code langs
3
Related
Practice Focus
Medium · Math-driven solution strategy
Answer-first summary
Convert any non-negative integer into its base -2 representation using a math-driven iterative remainder strategy.
Ace coding interviews with Interview AiBoxInterview AiBox guidance for Math-driven solution strategy
To solve Convert to Base -2, determine each digit using remainders and handle negative base carryovers carefully. Iteratively divide the number, adjust for negative remainders, and build the binary string from least significant to most significant digit. This method guarantees correct placement of ones and zeros without leading zeros except for zero itself.
Problem Statement
Given a non-negative integer n, return a string representing its value in base -2. The string must not contain leading zeros except when representing zero itself.
For example, given n = 2, the correct output is "110" because (-2)^2 + (-2)^1 = 2. Implement a function that handles numbers up to 10^9 and returns the minimal-length base -2 string.
Examples
Example 1
Input: n = 2
Output: "110" Explantion: (-2)2 + (-2)1 = 2
Example details omitted.
Example 2
Input: n = 3
Output: "111" Explantion: (-2)2 + (-2)1 + (-2)0 = 3
Example details omitted.
Example 3
Input: n = 4
Output: "100" Explantion: (-2)2 = 4
Example details omitted.
Constraints
- 0 <= n <= 109
Solution Approach
Iterative Division and Remainder
Use repeated division by -2, tracking the remainder each time. If a remainder is negative, adjust by adding 2 and incrementing the quotient. Append the remainder to build the result string from least to most significant digit.
Handle Carryover for Negative Base
Unlike standard binary, dividing by a negative base can produce negative remainders. Always normalize each remainder to 0 or 1 by adjusting the quotient, ensuring that the base -2 digit placement is valid and consistent.
Construct Result String
After processing all divisions, reverse the collected digits to form the final base -2 string. Remove any leading zeros except for the single-digit zero case to meet problem requirements.
Complexity Analysis
| Metric | Value |
|---|---|
| Time | Depends on the final approach |
| Space | Depends on the final approach |
Time complexity is O(log n) because each division reduces n roughly by a factor of 2. Space complexity is O(log n) to store the resulting digits in the output string.
What Interviewers Usually Probe
- Are you tracking how negative remainders affect digit placement?
- How do you handle normalization of digits when division yields negative remainders?
- Can you produce a result string without leading zeros efficiently?
Common Pitfalls or Variants
Common pitfalls
- Forgetting to adjust negative remainders leads to incorrect digit sequences.
- Appending digits in the wrong order without reversing at the end.
- Returning strings with unnecessary leading zeros instead of minimal length.
Follow-up variants
- Convert numbers to other negative bases like -3 or -5 using the same remainder adjustment strategy.
- Output the base -2 digits as an array of integers instead of a string.
- Handle signed integers including negative numbers in base -2 representation.
FAQ
What is the main strategy to solve Convert to Base -2?
Use iterative division by -2, adjust negative remainders to 0 or 1, and construct the final string from least to most significant digit.
Why do negative remainders occur in base -2 conversions?
Dividing by a negative base can yield remainders below zero, which must be normalized to ensure digits are valid binary digits (0 or 1).
Can this method handle large numbers efficiently?
Yes, since each division roughly halves the magnitude of n, the number of steps is proportional to log n, making it efficient up to 10^9.
Do I need to remove leading zeros in the result?
Yes, the output should not have leading zeros except when the number is zero itself, ensuring minimal-length representation.
Is this problem pattern considered math-driven?
Absolutely, the solution relies on careful arithmetic reasoning with negative base properties and remainder normalization.
Solution
Solution 1
#### Python3
class Solution:
def baseNeg2(self, n: int) -> str:
k = 1
ans = []
while n:
if n % 2:
ans.append('1')
n -= k
else:
ans.append('0')
n //= 2
k *= -1
return ''.join(ans[::-1]) or '0'Continue 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
Medium
Stay on this level to stabilize interview delivery.
arrow_forward