1906. Minimum Absolute Difference Queries LeetCode Solution

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Table of Contents

  1. Problem Statement
  2. Complexity Analysis
  3. Minimum Absolute Difference Queries solution in C++
  4. Minimum Absolute Difference Queries solution in Java
  5. Minimum Absolute Difference Queries solution in Python
  6. Additional Resources
1906. Minimum Absolute Difference Queries LeetCode Solution image

Problem Statement of Minimum Absolute Difference Queries

The minimum absolute difference of an array a is defined as the minimum value of |a[i] – a[j]|, where 0 <= i < j = 0.
-x if x < 0.

Example 1:

Input: nums = [1,3,4,8], queries = [[0,1],[1,2],[2,3],[0,3]]
Output: [2,1,4,1]
Explanation: The queries are processed as follows:
– queries[0] = [0,1]: The subarray is [1,3] and the minimum absolute difference is |1-3| = 2.
– queries[1] = [1,2]: The subarray is [3,4] and the minimum absolute difference is |3-4| = 1.
– queries[2] = [2,3]: The subarray is [4,8] and the minimum absolute difference is |4-8| = 4.
– queries[3] = [0,3]: The subarray is [1,3,4,8] and the minimum absolute difference is |3-4| = 1.

Example 2:

Input: nums = [4,5,2,2,7,10], queries = [[2,3],[0,2],[0,5],[3,5]]
Output: [-1,1,1,3]
Explanation: The queries are processed as follows:
– queries[0] = [2,3]: The subarray is [2,2] and the minimum absolute difference is -1 because all the
elements are the same.
– queries[1] = [0,2]: The subarray is [4,5,2] and the minimum absolute difference is |4-5| = 1.
– queries[2] = [0,5]: The subarray is [4,5,2,2,7,10] and the minimum absolute difference is |4-5| = 1.
– queries[3] = [3,5]: The subarray is [2,7,10] and the minimum absolute difference is |7-10| = 3.

Constraints:

2 <= nums.length <= 105
1 <= nums[i] <= 100
1 <= queries.length <= 2 * 104
0 <= li < ri < nums.length

Complexity Analysis

  • Time Complexity: O(q \cdot 100 \cdot \log n) = O(q\log n)
  • Space Complexity: O(n + q)

1906. Minimum Absolute Difference Queries LeetCode Solution in C++

class Solution {
 public:
  vector<int> minDifference(vector<int>& nums, vector<vector<int>>& queries) {
    vector<vector<int>> numToIndices(101);

    for (int i = 0; i < nums.size(); ++i)
      numToIndices[nums[i]].push_back(i);

    if (numToIndices[nums[0]].size() == nums.size())
      return vector<int>(queries.size(), -1);

    vector<int> ans;

    for (const vector<int>& query : queries) {
      const int l = query[0];
      const int r = query[1];
      int prevNum = -1;
      int minDiff = 101;
      for (int num = 1; num <= 100; ++num) {
        const auto& indices = numToIndices[num];
        const auto it = ranges::lower_bound(indices, l);
        if (it == indices.cend() || *it > r)
          continue;
        if (prevNum != -1)
          minDiff = min(minDiff, num - prevNum);
        prevNum = num;
      }
      ans.push_back(minDiff == 101 ? -1 : minDiff);
    }

    return ans;
  }
};
/* code provided by PROGIEZ */

1906. Minimum Absolute Difference Queries LeetCode Solution in Java

class Solution {
  public int[] minDifference(int[] nums, int[][] queries) {
    int[] ans = new int[queries.length];
    List<Integer>[] numToIndices = new List[101];

    for (int i = 1; i <= 100; ++i)
      numToIndices[i] = new ArrayList<>();

    for (int i = 0; i < nums.length; ++i)
      numToIndices[nums[i]].add(i);

    if (numToIndices[nums[0]].size() == nums.length) {
      Arrays.fill(ans, -1);
      return ans;
    }

    for (int i = 0; i < queries.length; ++i) {
      final int l = queries[i][0];
      final int r = queries[i][1];
      int prevNum = -1;
      int minDiff = 101;
      for (int num = 1; num <= 100; ++num) {
        List<Integer> indices = numToIndices[num];
        final int j = firstGreaterEqual(indices, l);
        if (j == indices.size() || indices.get(j) > r)
          continue;
        if (prevNum != -1)
          minDiff = Math.min(minDiff, num - prevNum);
        prevNum = num;
      }
      ans[i] = minDiff == 101 ? -1 : minDiff;
    }

    return ans;
  }

  private int firstGreaterEqual(List<Integer> A, int target) {
    final int i = Collections.binarySearch(A, target);
    return i < 0 ? -i - 1 : i;
  }
}
// code provided by PROGIEZ

1906. Minimum Absolute Difference Queries LeetCode Solution in Python

class Solution:
  def minDifference(
      self,
      nums: list[int],
      queries: list[list[int]],
  ) -> list[int]:
    numToIndices = [[] for _ in range(101)]

    for i, num in enumerate(nums):
      numToIndices[num].append(i)

    if len(numToIndices[nums[0]]) == len(nums):
      return [-1] * len(queries)

    ans = []

    for l, r in queries:
      prevNum = -1
      minDiff = 101
      for num in range(1, 101):
        indices = numToIndices[num]
        i = bisect_left(indices, l)
        if i == len(indices) or indices[i] > r:
          continue
        if prevNum != -1:
          minDiff = min(minDiff, num - prevNum)
        prevNum = num
      ans.append(-1 if minDiff == 101 else minDiff)

    return ans
# code by PROGIEZ

Additional Resources

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