Problem Description
Given two integer arrays arr1 and arr2, and an integer d, return the distance value between the two arrays. The distance value is defined as the number of elements arr1[i] for which no element arr2[j] exists such that |arr1[i] - arr2[j]| <= d.
Key Insights
- Sorting arr2 lets you efficiently check for the existence of an element close to a given arr1 element.
- Binary search can be used on the sorted arr2 to quickly find the candidate(s) that are nearest to a given number from arr1.
- Edge cases include checking the boundary elements when using binary search.
Space and Time Complexity
Time Complexity: O(n log m) where n is the length of arr1 and m is the length of arr2 (due to sorting arr2 and performing binary search for each element in arr1).
Space Complexity: O(m) for storing the sorted version of arr2.
Solution
The approach is as follows:
- Sort arr2 to enable binary search.
- For each element x in arr1, use binary search to find the insertion index in the sorted arr2.
- Check the candidate at the found index and its neighbor (if it exists) to determine the minimum absolute difference between x and the elements in arr2.
- If the minimum difference is greater than d, x contributes to the distance value.
- Sum up all such valid elements from arr1 and return the count.
Data Structures and Algorithms:
- Array (for storing and iterating the numbers).
- Sorting for arr2.
- Binary Search for efficient nearest element lookup.