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Competition Arena > MergeSort
SRM 151 · 2003-06-17 · by Wernie · Simulation, Sorting
Class Name: MergeSort
Return Type: int
Method Name: howManyComparisons
Arg Types: (vector<int>)
Problem Statement

Problem Statement

MergeSort is a classical sorting algorithm following the divide-and-conquer paradigm. Sorting n elements, it has a worst-case complexity of O(n*log(n)), which is optimal for sorting algorithms based on comparisons.

Basically, it sorts a list with more than one element the following way (a list containing only one element is always sorted):
  • 1. divide the list into two sublists of about equal size (divide)
  • 2. sort each of the two sublists (conquer)
  • 3. merge the two sorted sublists into one sorted list (combine)

A pro of MergeSort is that it is stable, i.e. elements with the same key value keep their relative order during sorting. A con is that it is not in-place since it needs additional space for temporarily storing elements.

Given a int[] numbers, return the number of comparisons the MergeSort algorithm (as described in pseudocode below) makes in order to sort that list. In this context, a single comparison takes two numbers x, y (from the list to be sorted) and determines which of x < y, x = y and x > y holds.

List mergeSort(List a)
  • 1. if size(a) <= 1, return a
  • 2. split a into two sublists b and c
  •    if size(a) = 2*k, b contains the first k elements of a, c the last k elements
  •    if size(a) = 2*k+1, b contains the first k elements of a, c the last k+1 elements
  • 3. List sb = mergeSort(b)
  •    List sc = mergeSort(c)
  • 4. return merge(sb, sc)

List merge(List b, List c)
  • 1. create an empty list a
  • 2. while both b and c are not empty, compare the first elements of b and c
  •    first(b) < first(c): remove the first element of b and append it to the end of a
  •    first(b) > first(c): remove the first element of c and append it to the end of a
  •    first(b) = first(c): remove the first elements of b and c and append them to the end of a
  • 3. if either b or c is not empty, append that non-empty list to the end of a
  • 4. return a

Notes

  • Be sure to exactly follow the algorithm as described, as a different implementation of MergeSort might lead to a different number of comparisons.

Constraints

  • numbers contains between 0 and 50 elements, inclusive.
  • Each element of numbers is an int in its 'natural' (signed 32-bit) range from -(2^31) to (2^31)-1.
Examples
0)
{1, 2, 3, 4}
Returns: 4

{1, 2, 3, 4} is first split to {1, 2} and {3, 4}. {1, 2} is split to {1} and {2} and merging to {1, 2} takes one comparison. {3, 4} is split to {3} and {4} and merging to {3, 4} also takes one comparison. Merging {1, 2} and {3, 4} to {1, 2, 3, 4} takes two comparisons (first 1 is compared to 3 and then 2 is compared to 3). This makes a total of four comparisons.

1)
{2, 3, 2}
Returns: 2

{2, 3, 2} is split to {2} and {3, 2}. {3, 2} is split and then merged to {2, 3} making one comparison. {2} and {2, 3} are merged to {2, 2, 3} also making one comparison, which totals to two comparisons made.

2)
{-17}
Returns: 0
3)
{}
Returns: 0
4)
{-20}
Returns: 0

Submissions are judged against all 65 archived test cases, of which 5 are shown here. Case numbers match the judge’s.

Coding Area

Language: C++17 · define a public class MergeSort with a public method int howManyComparisons(vector<int> numbers) · 65 test cases · 2 s / 256 MB per case

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