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Grokking the Coding Interview Patterns in Go

Solution: K Closest Points to Origin

Understand how to solve the K Closest Points to Origin problem by applying a max-heap to track the closest points efficiently. Explore the benefits of using squared distances instead of exact distances and learn to optimize your solution for both time and space complexity. This lesson guides you through implementing and analyzing the solution to handle large datasets in coding interviews.

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Statement

You are given an array of points where each element points[i] =[xi,yi]= [x_i, y_i] represents a point on the X-Y plane, along with an integer k. Your task is to find and return the k points that are closest to the origin [0 ...