When I first saw this problem, it looked like a math + greedy problem, but the solution turns out to be surprisingly simple.
Let’s break it down.
📌 Problem
A deci-binary number is a number where each digit is either 0 or 1.
Examples:
101
1100
10001
Invalid examples:
112
3021
You are given a decimal string n.
Your task is to return the minimum number of deci-binary numbers needed so their sum equals n.
💡 Key Observation
Each deci-binary number can contribute at most 1 to any digit position.
Example:
n = "32"
We can build it like this:
10
11
11
Sum:
10 + 11 + 11 = 32
We needed 3 numbers.
Why?
Because the largest digit in 32 is 3.
🔑 Core Insight
The minimum number of deci-binary numbers required = the maximum digit in the string.
Why this works:
If a digit in n is 8, we need at least 8 numbers, since each deci-binary number can contribute only 1 at that position.
Example:
n = "82734"
Digits:
8 2 7 3 4
Maximum digit:
8
So the answer is:
8
🧠 Algorithm
- Traverse the string.
- Convert each character to an integer.
- Track the maximum digit.
- Return that value.
💻 C++ Implementation
class Solution {
public:
int minPartitions(string n) {
int maxi = 0;
for(char c : n) {
maxi = max(maxi, c - '0');
}
return maxi;
}
};
⏱ Complexity Analysis
Time Complexity
O(n)
We scan the string once.
Space Complexity
O(1)
Only one variable is used.
🎯 Interview Insight
This problem tests your ability to spot constraints in digit-based problems.
Instead of constructing numbers, think about:
What is the minimum contribution needed per digit position?
Since each deci-binary number contributes at most 1, the largest digit determines the answer.
✨ Final Thought
Sometimes the hardest part of a problem is not overthinking it.
The entire solution boils down to:
Find the maximum digit.
And that’s it.
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