2578. Split With Minimum Sum
Description
Given a positive integer num
, split it into two non-negative integers num1
and num2
such that:
- The concatenation of
num1
andnum2
is a permutation ofnum
.- In other words, the sum of the number of occurrences of each digit in
num1
andnum2
is equal to the number of occurrences of that digit innum
.
- In other words, the sum of the number of occurrences of each digit in
num1
andnum2
can contain leading zeros.
Return the minimum possible sum of num1
and num2
.
Notes:
- It is guaranteed that
num
does not contain any leading zeros. - The order of occurrence of the digits in
num1
andnum2
may differ from the order of occurrence ofnum
.
Example 1:
Input: num = 4325 Output: 59 Explanation: We can split 4325 so that num1 is 24 and num2 is 35, giving a sum of 59. We can prove that 59 is indeed the minimal possible sum.
Example 2:
Input: num = 687 Output: 75 Explanation: We can split 687 so that num1 is 68 and num2 is 7, which would give an optimal sum of 75.
Constraints:
10 <= num <= 109
Solutions
Solution 1: Counting + Greedy
First, we use a hash table or array \(cnt\) to count the occurrences of each digit in \(num\), and use a variable \(n\) to record the number of digits in \(num\).
Next, we enumerate all the digits \(i\) in \(nums\), and alternately allocate the digits in \(cnt\) to \(num1\) and \(num2\) in ascending order, recording them in an array \(ans\) of length \(2\). Finally, we return the sum of the two numbers in \(ans\).
The time complexity is \(O(n)\), and the space complexity is \(O(C)\). Where \(n\) is the number of digits in \(num\); and \(C\) is the number of different digits in \(num\), in this problem, \(C \leq 10\).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 |
|
Solution 2: Sorting + Greedy
We can convert \(num\) to a string or character array, then sort it, and then alternately allocate the digits in the sorted array to \(num1\) and \(num2\) in ascending order. Finally, we return the sum of \(num1\) and \(num2\).
The time complexity is \(O(n \times \log n)\), and the space complexity is \(O(n)\). Where \(n\) is the number of digits in \(num\).
1 2 3 4 |
|
1 2 3 4 5 6 7 8 9 10 11 |
|
1 2 3 4 5 6 7 8 9 10 11 12 |
|
1 2 3 4 5 6 7 8 9 |
|
1 2 3 4 5 6 7 8 9 |
|
1 2 3 4 5 6 7 8 9 10 11 12 13 |
|