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HardArray

Best Position for a Service Centre

arraymathgeometry

Problem Statement

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] = [x _i , y _i ] 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 [x _centre , y _centre ] such that the following formula is minimized:

Answers within 10 ^-5 of the actual value will be accepted.

Examples

Example 1
Input: positions = [[0,1],[1,0],[1,2],[2,1]]
Output: 4.00000
As shown, you can see that choosing [x _centre , y _centre ] = [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
Input: positions = [[1,1],[3,3]]
Output: 2.82843
The minimum possible sum of distances = sqrt(2) + sqrt(2) = 2.82843

Constraints

1 <= positions.length <= 50
positions[i].length == 2
0 <= x _i , y _i <= 100
😤
Hard
Difficulty
Topic Info
ModuleDSA
CategoryArray
Sub-topicMath
Tags
arraymathgeometryrandomized
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