A decimal number is called deci-binary if each of its digits is either 0 or 1 without any leading zeros. For example, 101 and 1100 are deci-binary, while 112 and 3001 are not.
Given a string n that represents a positive decimal integer, return the minimum number of positive deci-binary numbers needed so that they sum up to n.
Example 1:
Input: n = "32" Output: 3 Explanation: 10 + 11 + 11 = 32
Example 2:
Input: n = "82734" Output: 8
Example 3:
Input: n = "27346209830709182346" Output: 9
Constraints:
1 <= n.length <= 105n consists of only digits.n does not contain any leading zeros and represents a positive integer.The key to solving this problem is understanding the relationship between the digits of the number and the deci-binary numbers. The minimum number of deci-binary numbers needed is dictated by the maximum digit in the string representation of the number. This is because to construct the number using deci-binary numbers (which only contain 0 and 1), at least one of these numbers must have a '1' in each digit position where the given number is non-zero. Each deci-binary number can only add 1 to each digit position.
In this C implementation, we iterate through the string of the number, keeping track of the maximum digit found. Since deci-binary numbers can only increment each position by 1, the maximum digit will determine the minimum number of such numbers required.
C++
Java
Python
C#
JavaScript
Time Complexity: O(n), where n is the length of the string.
Space Complexity: O(1), as we only use a constant amount of extra space.
Instead of iterating through the string directly, an alternate way to solve the problem can be to map the string into an array of numbers first, then find the maximum in that array. However, this adds overhead without practical advantage, since the core of the solution relies on identifying the maximum digit in the string.
While this approach doesn't effectively differ in the outcome or complexity, it demonstrates the same maximum digit principle, emphasizing direct character handling in the number string.
C++
Java
Python
C#
JavaScript
Time Complexity: O(n), n being the length of the string.
Space Complexity: O(1).
| Approach | Complexity |
|---|---|
| Approach 1: Maximum Digit Evaluation | Time Complexity: O(n), where n is the length of the string. |
| Approach 2: Direct Conversion and Maximum | Time Complexity: O(n), n being the length of the string. |
1689. Partitioning Into Minimum Number Of Deci-Binary Numbers | Leetcode Medium | CODE EXPLAINER • code Explainer • 8,034 views views
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