java.lang.Object
g1501_1600.s1515_best_position_for_a_service_centre.Solution

public class Solution extends Object
1515 - Best Position for a Service Centre\. Hard A delivery company wants to build a new service center in a new city. The company knows the positions of all the customers in this city on a 2D-Map and wants to build the new center in a position such that **the sum of the euclidean distances to all customers is minimum**. Given an array `positions` where positions[i] = [xi, yi] is the position of the `ith` customer on the map, return _the minimum sum of the euclidean distances_ to all customers. In other words, you need to choose the position of the service center [xcentre, ycentre] such that the following formula is minimized: ![](https://assets.leetcode.com/uploads/2020/06/25/q4_edited.jpg) Answers within 10-5 of the actual value will be accepted. **Example 1:** ![](https://assets.leetcode.com/uploads/2020/06/25/q4_e1.jpg) **Input:** positions = \[\[0,1],[1,0],[1,2],[2,1]] **Output:** 4.00000 **Explanation:** As shown, you can see that choosing [xcentre, ycentre] = [1, 1] will make the distance to each customer = 1, the sum of all distances is 4 which is the minimum possible we can achieve. **Example 2:** ![](https://assets.leetcode.com/uploads/2020/06/25/q4_e3.jpg) **Input:** positions = \[\[1,1],[3,3]] **Output:** 2.82843 **Explanation:** The minimum possible sum of distances = sqrt(2) + sqrt(2) = 2.82843 **Constraints:** * `1 <= positions.length <= 50` * `positions[i].length == 2` * 0 <= xi, yi <= 100
  • Constructor Details

    • Solution

      public Solution()
  • Method Details

    • getMinDistSum

      public double getMinDistSum(int[][] positions)