Given two arrays of unique digits nums1 and nums2, return the smallest number that contains at least one digit from each array.
Example 1:
Input: nums1 = [4,1,3], nums2 = [5,7]
Output: 15
Explanation: The number 15 contains the digit 1 from nums1 and the digit 5 from nums2. It can be proven that 15 is the smallest number we can have.
Example 2:
Input: nums1 = [3,5,2,6], nums2 = [3,1,7]
Output: 3
Explanation: The number 3 contains the digit 3 which exists in both arrays.
Constraints:
1 <= nums1.length, nums2.length <= 9
1 <= nums1[i], nums2[i] <= 9
All digits in each array are unique.
Solutions
Solution 1: Enumeration
We observe that if there are the same numbers in the arrays \(nums1\) and \(nums2\), then the minimum of the same numbers is the smallest number. Otherwise, we take the number \(a\) in the array \(nums1\) and the number \(b\) in the array \(nums2\), and concatenate the two numbers \(a\) and \(b\) into two numbers, and take the smaller number.
The time complexity is \(O(m \times n)\), and the space complexity is \(O(1)\), where \(m\) and \(n\) are the lengths of the arrays \(nums1\) and \(nums2\).
We can use a hash table or array to record the numbers in the arrays \(nums1\) and \(nums2\), and then enumerate \(1 \sim 9\). If \(i\) appears in both arrays, then \(i\) is the smallest number. Otherwise, we take the number \(a\) in the array \(nums1\) and the number \(b\) in the array \(nums2\), and concatenate the two numbers \(a\) and \(b\) into two numbers, and take the smaller number.
The time complexity is \((m + n)\), and the space complexity is \(O(C)\). Where \(m\) and \(n\) are the lengths of the arrays \(nums1\) and \(nums2\) respectively; and \(C\) is the range of the numbers in the arrays \(nums1\) and \(nums2\), and the range in this problem is \(C = 10\).
Since the range of the numbers is \(1 \sim 9\), we can use a binary number with a length of \(10\) to represent the numbers in the arrays \(nums1\) and \(nums2\). We use \(mask1\) to represent the numbers in the array \(nums1\), and use \(mask2\) to represent the numbers in the array \(nums2\).
If the number \(mask\) obtained by performing a bitwise AND operation on \(mask1\) and \(mask2\) is not equal to \(0\), then we extract the position of the last \(1\) in the number \(mask\), which is the smallest number.
Otherwise, we extract the position of the last \(1\) in \(mask1\) and \(mask2\) respectively, and denote them as \(a\) and \(b\), respectively. Then the smallest number is \(min(a \times 10 + b, b \times 10 + a)\).
The time complexity is \(O(m + n)\), and the space complexity is \(O(1)\). Where \(m\) and \(n\) are the lengths of the arrays \(nums1\) and \(nums2\) respectively.