we have proven that the computational time complexity of mergesort is O(n * log2n). Perhaps the time complexity of mergesort can be improved further by separating the array into three parts instead of two. Start by implementing a method called merge3. This method should take three sorted arrays as inputs and return a sorted array consisting of all elements of the three input arrays. public static int[] merge3(int[] a, int[] b, int[] c) { return new int[] {-1}; }

we have proven that the computational time complexity of mergesort is O(n * log2n). Perhaps the time complexity of mergesort can be improved further by separating the array into three parts instead of two. Start by implementing a method called merge3. This method should take three sorted arrays as inputs and return a sorted array consisting of all elements of the three input arrays. public static int[] merge3(int[] a, int[] b, int[] c) { return new int[] {-1}; }

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter18: Stacks And Queues

Section: Chapter Questions

Problem 16PE: The implementation of a queue in an array, as given in this chapter, uses the variable count to...

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