LeetCode 2464. Minimum Subarrays in a Valid Split Solution in Java, C++, Python & Go | Explanation + Code

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2464. Minimum Subarrays in a Valid Split

Description

You are given an integer array nums.

Splitting of an integer array nums into subarrays is valid if:

  • the greatest common divisor of the first and last elements of each subarray is greater than 1, and
  • each element of nums belongs to exactly one subarray.

Return the minimum number of subarrays in a valid subarray splitting of nums. If a valid subarray splitting is not possible, return -1.

Note that:

  • The greatest common divisor of two numbers is the largest positive integer that evenly divides both numbers.
  • A subarray is a contiguous non-empty part of an array.

 

Example 1:

Input: nums = [2,6,3,4,3]
Output: 2
Explanation: We can create a valid split in the following way: [2,6] | [3,4,3].
- The starting element of the 1st subarray is 2 and the ending is 6. Their greatest common divisor is 2, which is greater than 1.
- The starting element of the 2nd subarray is 3 and the ending is 3. Their greatest common divisor is 3, which is greater than 1.
It can be proved that 2 is the minimum number of subarrays that we can obtain in a valid split.

Example 2:

Input: nums = [3,5]
Output: 2
Explanation: We can create a valid split in the following way: [3] | [5].
- The starting element of the 1st subarray is 3 and the ending is 3. Their greatest common divisor is 3, which is greater than 1.
- The starting element of the 2nd subarray is 5 and the ending is 5. Their greatest common divisor is 5, which is greater than 1.
It can be proved that 2 is the minimum number of subarrays that we can obtain in a valid split.

Example 3:

Input: nums = [1,2,1]
Output: -1
Explanation: It is impossible to create valid split.

 

Constraints:

  • 1 <= nums.length <= 1000
  • 1 <= nums[i] <= 105

Solutions

Solution 1: Memoization Search

We design a function dfs(i) to represent the minimum number of partitions starting from index i. For index i, we can enumerate all partition points j, i.e., i ≤ j < n, where n is the length of the array. For each partition point j, we need to determine whether the greatest common divisor of nums[i] and nums[j] is greater than 1. If it is greater than 1, we can partition, and the number of partitions is 1 + dfs(j + 1); otherwise, the number of partitions is +∞. Finally, we take the minimum of all partition numbers.

The time complexity is O(n2), and the space complexity is O(n). Here, n is the length of the array.

PythonJavaC++Go
class Solution: def validSubarraySplit(self, nums: List[int]) -> int: @cache def dfs(i): if i >= n: return 0 ans = inf for j in range(i, n): if gcd(nums[i], nums[j]) > 1: ans = min(ans, 1 + dfs(j + 1)) return ans n = len(nums) ans = dfs(0) dfs.cache_clear() return ans if ans < inf else -1(code-box)

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