Search⌘ K
AI Features
Home
Courses
Grokking the Coding Interview Patterns in C++

Solution: Finding MK Average

Understand how to implement the MKAverage class to compute a specialized average from a data stream. This lesson guides you through maintaining a moving window and balanced partitions to efficiently update and calculate the average of the central elements, optimizing for time and space complexity.

We'll cover the following...

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() ...