1906. Minimum Absolute Difference Queries LeetCode Solution
In this guide, you will get 1906. Minimum Absolute Difference Queries LeetCode Solution with the best time and space complexity. The solution to Minimum Absolute Difference Queries problem is provided in various programming languages like C++, Java, and Python. This will be helpful for you if you are preparing for placements, hackathons, interviews, or practice purposes. The solutions provided here are very easy to follow and include detailed explanations.
Table of Contents
- Problem Statement
- Complexity Analysis
- Minimum Absolute Difference Queries solution in C++
- Minimum Absolute Difference Queries solution in Java
- Minimum Absolute Difference Queries solution in Python
- Additional Resources
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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- Explore all problems on LeetCode website here
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