Program to find minimum distance to the target element using Python.Program to find the minimum edit distance between two strings in C++.Program to find minimum total cost for equalizing list elements in Python.Result = min(result, util(idx, i, 1) + util(i+1, n, k - 1)) Return sum( - core) for i in range(idx, n + 1)]) Let us see the following implementation to get better understanding def solve(houses, k): Result := minimum of result and util(idx, i, 1) + util(i+1, n, k - 1) Return sum of all elements of - core| for each i in range idx to n]) To solve this, we will follow these steps −ĭefine a function util(). So, if the input is like houses = k = 2, then the output will be 9 because if we place mailbox at 7 and 18, then minimum total distance from each house is |6-7|+|7-7|+|9-7|+|16- 18|+|22-18| = 1+0+2+2+4 = 9. Here houses represents the location of the ith house along a street, we have to allocate k mailboxes in the street, and find the minimum total distance between each house and its nearest mailbox. Suppose we have an array called houses and have another value k.

Nearest mailbox