1. With the partial implementation of the "Merge-Sort" algorithm (shown below), namely, merge( ) and mergeSort(), build a test program that sorts an unsorted array of the size of 20. You may need Queue, LinkedQueue or any other classes and interfaces to import. /** Merge contents of arrays S1 and S2 into properly sized array S. */ public static void merge(K[] s1, K[] S2, K[] s, Comparator comp) { int i = 0, j = 0; while (i + j < S.length) { if (j == S2.1ength || (i < s1. length && comp.compare(S1[i], S2[j]) < e)) S[i+j] = S1[i++]; else // copy ith element of S1 and increment i // copy ith element of S2 and increment j S[i+j] = S2[j++]; } } /** Merge-sort contents of array S. */ public static void mergeSort (K[] S, Comparator comp) { int n = S.length; if (n < 2) return; // divide int mid = n/2; K[] s1 = Arrays.copy0fRange (S, e, mid); K[] s2 = Arrays.copy0fRange (S, mid, n); // conquer (with recursion) mergeSort(S1, comp); mergeSort(S2, comp); // merge results merge (S1, S2, s, comp); // array is trivially sorted // copy of first half // copy of second half // sort copy of first half // sort copy of second half // merge sorted halves back into original

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Please answer the following question attached below(use java ) and also add necessary comments for understanding 

1. With the partial implementation of the "Merge-Sort" algorithm (shown below),
namely, merge() and mergeSort(), build a test program that sorts an unsorted array
of the size of 20. You may need Queue, LinkedQueue or any other classes and
interfaces to import.
/** Merge contents of arrays S1 and S2 into properly sized array S. */
public static <K> void merge (K[] S1, K[] s2, K[] S, comparator<K> comp) {
int i = 0, j = 0;
while (i + j < S.length) {
if (j == S2.1length || (i < S1.length && comp.compare(S1[i], S2[j]) < 0))
S[i+j] = S1[i++];
else
// copy ith element of S1 and increment i
S[i+j] = S2[j++];
}
}
/** Merge-sort contents of array S. */
public static <K> void mergeSort (K[] S, Comparator<K> comp) {
int n = S.length;
if (n < 2) return;
// divide
int mid = n/2;
// copy jth element of S2 and increment j
// array is trivially sorted
// copy of first half
// copy of second half
K[] s1 = Arrays.copy0fRange (S, 0, mid);
K[] s2 = Arrays.copy0fRange (S, mid, n);
// conquer (with recursion)
mergeSort(S1, comp);
mergeSort(S2, comp);
// merge results
merge(S1, S2, S, comp);
// sort copy of first half
// sort copy of second half
// merge sorted halves back into original
Transcribed Image Text:1. With the partial implementation of the "Merge-Sort" algorithm (shown below), namely, merge() and mergeSort(), build a test program that sorts an unsorted array of the size of 20. You may need Queue, LinkedQueue or any other classes and interfaces to import. /** Merge contents of arrays S1 and S2 into properly sized array S. */ public static <K> void merge (K[] S1, K[] s2, K[] S, comparator<K> comp) { int i = 0, j = 0; while (i + j < S.length) { if (j == S2.1length || (i < S1.length && comp.compare(S1[i], S2[j]) < 0)) S[i+j] = S1[i++]; else // copy ith element of S1 and increment i S[i+j] = S2[j++]; } } /** Merge-sort contents of array S. */ public static <K> void mergeSort (K[] S, Comparator<K> comp) { int n = S.length; if (n < 2) return; // divide int mid = n/2; // copy jth element of S2 and increment j // array is trivially sorted // copy of first half // copy of second half K[] s1 = Arrays.copy0fRange (S, 0, mid); K[] s2 = Arrays.copy0fRange (S, mid, n); // conquer (with recursion) mergeSort(S1, comp); mergeSort(S2, comp); // merge results merge(S1, S2, S, comp); // sort copy of first half // sort copy of second half // merge sorted halves back into original
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