You are given an array, nums, consisting of positive integers of size n and another array queries of size m. For each query queries, the goal is to make all elements of nums equal to queries[i]. To achieve this, you can perform the following operation any number of times:
Increase or decrease an element of nums by 1.
Return an array answer of size m, where answer[i] is the minimum number of operations needed to make all elements of nums equal to queries[i]. After processing each query, the nums array is reset to its original state.
Constraints
n nums.length
m queries.length
n, m
nums[i], queries[i]
The algorithm efficiently calculates the minimum operations needed to adjust an array (nums) to match a series of query values. It sorts the array and uses a prefix sum array for efficient range sum calculations. The prefix sum array stores the cumulative sums of the sorted nums array and is computed by iterating through the array and maintaining a running total. For each query, the algorithm splits the array into elements smaller than and greater than or equal to the query using binary search. The binary search helps find the smallest index where the element is greater than or equal to the query value. The range is adjusted during the search: if the middle element is smaller than the query, the search moves to the right half; if it is greater than or equal to the query, the search continues in the left half. The ...
You are given an array, nums, consisting of positive integers of size n and another array queries of size m. For each query queries, the goal is to make all elements of nums equal to queries[i]. To achieve this, you can perform the following operation any number of times:
Increase or decrease an element of nums by 1.
Return an array answer of size m, where answer[i] is the minimum number of operations needed to make all elements of nums equal to queries[i]. After processing each query, the nums array is reset to its original state.
Constraints
n nums.length
m queries.length
n, m
nums[i], queries[i]
The algorithm efficiently calculates the minimum operations needed to adjust an array (nums) to match a series of query values. It sorts the array and uses a prefix sum array for efficient range sum calculations. The prefix sum array stores the cumulative sums of the sorted nums array and is computed by iterating through the array and maintaining a running total. For each query, the algorithm splits the array into elements smaller than and greater than or equal to the query using binary search. The binary search helps find the smallest index where the element is greater than or equal to the query value. The range is adjusted during the search: if the middle element is smaller than the query, the search moves to the right half; if it is greater than or equal to the query, the search continues in the left half. The ...