You are given two integer arrays, nums1 and nums2, of lengths m and n, respectively. Each array represents the digits of a number.
You are also given an integer k. Create the largest possible number of length k (where k m n) using digits from both arrays. You may interleave digits from the two arrays, but the relative order of digits within the same array must be preserved.
Return an array of k digits representing the maximum number.
Constraints:
m nums1.length
n nums2.length
m, n
nums1[i], nums2[i]
k m n
nums1 and nums2 do not have leading zeros.
This problem asks us to build the lexicographically largest number of length k by trying every possible way to divide k digits between the two arrays and keeping the best result. Concretely, if we take i digits from nums1, we must take k − i from nums2. The valid values of i are max(0, k − n) ≤ i ≤ min(k, m), so both arrays can supply the needed digits without breaking their lengths, all while preserving each array’s internal order.
This structure suggests three complementary steps:
Explore all valid splits: For each valid i, consider the split (i digits from nums1, k − i digits from nums2). We don’t guess the best division ahead of time, because in some cases the optimal answer leans heavily on one array, while in others it requires careful interleaving of both.
Pick the strongest subarray from each input: Once we fix how many digits to take from an array, we select the largest possible subarray of that length while preserving ...
You are given two integer arrays, nums1 and nums2, of lengths m and n, respectively. Each array represents the digits of a number.
You are also given an integer k. Create the largest possible number of length k (where k m n) using digits from both arrays. You may interleave digits from the two arrays, but the relative order of digits within the same array must be preserved.
Return an array of k digits representing the maximum number.
Constraints:
m nums1.length
n nums2.length
m, n
nums1[i], nums2[i]
k m n
nums1 and nums2 do not have leading zeros.
This problem asks us to build the lexicographically largest number of length k by trying every possible way to divide k digits between the two arrays and keeping the best result. Concretely, if we take i digits from nums1, we must take k − i from nums2. The valid values of i are max(0, k − n) ≤ i ≤ min(k, m), so both arrays can supply the needed digits without breaking their lengths, all while preserving each array’s internal order.
This structure suggests three complementary steps:
Explore all valid splits: For each valid i, consider the split (i digits from nums1, k − i digits from nums2). We don’t guess the best division ahead of time, because in some cases the optimal answer leans heavily on one array, while in others it requires careful interleaving of both.
Pick the strongest subarray from each input: Once we fix how many digits to take from an array, we select the largest possible subarray of that length while preserving ...