Class Solution

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    public final class Solution
    
                        

    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 <code>positionsi = x<sub>i</sub>, y<sub>i</sub></code> 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 <code>x<sub>centre</sub>, y<sub>centre</sub></code> such that the following formula is minimized:

    Answers within <code>10<sup>-5</sup></code> of the actual value will be accepted.

    Example 1:

    Input: positions = \[\[0,1],1,0,1,2,2,1]

    Output: 4.00000

    Explanation: As shown, you can see that choosing x<sub>centre</sub>, y<sub>centre</sub> = 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

    Explanation: The minimum possible sum of distances = sqrt(2) + sqrt(2) = 2.82843

    Constraints:

    • 1 &lt;= positions.length &lt;= 50

    • positions[i].length == 2

    • <code>0 <= x<sub>i</sub>, y<sub>i</sub><= 100</code>

    • Nested Class Summary

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      Modifier and Type Class Description
    • Field Summary

      Fields 
      Modifier and Type Field Description
    • Constructor Summary

      Constructors 
      Constructor Description
      Solution()
    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
    • Method Summary

      Modifier and Type Method Description
      final Double getMinDistSum(Array<IntArray> positions)
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait