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Solution: Finding MK Average

Explore how to implement the MK Average calculation using custom data structures in JavaScript. This lesson guides you to efficiently handle a sliding window of integers, maintain sorted segments, and compute averages by excluding extreme values. Understand the use of deques and sorted lists to balance and update dynamic data sets for optimized performance.

Statement

You are given two integers, m and k, and a stream of integers. Your task is to design and implement a data structure that efficiently calculates the MK Average for the stream.

To compute the MK Average, follow these steps:

  1. Stream length check: If the stream contains fewer than m elements, return -1 as the MK Average.

  2. Window selection: Otherwise, copy the last m elements of the stream to a separate container and remove the smallest k elements and the largest k elements from the container.

  3. Average calculation: Calculate the average of the remaining elements (rounded down to the nearest integer).

Implement the MKAverage class

  • MKAverage(int m, int k): Initializes the object with integers m and k and an empty stream.

  • void addElement(int num): Adds the integer num to the stream.

  • int calculateMKAverage() ...