Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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import java.io.*;
import java.util.stream.*;

public class Solution {

static class ListCell<T> {

public T datum; // Data for this cell
public ListCell<T> next; // Next cell

public ListCell(T datum, ListCell<T> next) {
this.datum = datum;
this.next = next;
}
}

static class LinkedList<T> {

private static final String STRING = " ";

Solution.ListCell<T> head; // head (first cell) of the List

public LinkedList() {
head = null;
}

public void insert(T element) {
head = new ListCell<T>(element, head);
}

public void delete(T element) {
delete(element, head);
}

private ListCell<T> delete(T element, ListCell<T> cell) {
if (cell == null)
return null;
if (cell.datum.equals(element))
return cell.next;
cell.next = delete(element, cell.next);
return cell;
}

public int size() {
return size(head);
}

private int size(ListCell<T> cell) {
if (cell == null)
return 0;
return size(cell.next) + 1;
}

public String toString() {
return toString(head);
}

private String toString(ListCell<T> cell) {
if (cell == null)
return "";
return cell.datum.toString() + STRING + toString(cell.next);
}
}

// Complete the mergeSort function below.
// !!! Leave the code as is except for the below function, !!!
// !!! though writing helper function(s) are allowed. !!!
private static void sort(Solution.LinkedList<Integer> llist) {

}


public static void main(String[] args) throws IOException {

BufferedWriter bufferedWriter = new BufferedWriter(new OutputStreamWriter(System.out));

BufferedReader br = new BufferedReader(new InputStreamReader(System.in));

int llistCount = Integer.parseInt(br.readLine().trim());

LinkedList<Integer> llist = new LinkedList<>();

IntStream.range(0, llistCount).forEach(i -> {
try {
Integer llistItem = Integer.parseInt(br.readLine().trim());

llist.insert(llistItem);
} catch (IOException ex) {
throw new RuntimeException(ex);
}
});

sort(llist);

bufferedWriter.write(llist.toString().trim());

bufferedWriter.close();

br.close();
}

}

 

Merge sort would in general be the best sorting algorithm for linked lists due to the slow access to individual
elements in a list, O(n). In this challenge, you need to implement the sort method, based on the linked list
structure defined in the code stub.
Expected time complexity is O(nlogn), space complexity is O(n).
Input Format
The input is handled by code editor: - The values for the list are space separated and given in the same line.
Constraints
• Values range from 0 to 2^31 - 1.
• Number of nodes in the list ranges from 0 to 1,000,000.
Output Format
Space separated node values of the sorted linked list in a single line.
Sample Input 0
2
4
Sample Output 0
2 2 4 5 6
Explanation 0
expand button
Transcribed Image Text:Merge sort would in general be the best sorting algorithm for linked lists due to the slow access to individual elements in a list, O(n). In this challenge, you need to implement the sort method, based on the linked list structure defined in the code stub. Expected time complexity is O(nlogn), space complexity is O(n). Input Format The input is handled by code editor: - The values for the list are space separated and given in the same line. Constraints • Values range from 0 to 2^31 - 1. • Number of nodes in the list ranges from 0 to 1,000,000. Output Format Space separated node values of the sorted linked list in a single line. Sample Input 0 2 4 Sample Output 0 2 2 4 5 6 Explanation 0
Space separated node values of the sorted linked list in a single line.
Sample Input 0
5
2
4
6
2
Sample Output 0
2 2 4 5 6
Explanation 0
Sort the 5 values in ascendign order.
expand button
Transcribed Image Text:Space separated node values of the sorted linked list in a single line. Sample Input 0 5 2 4 6 2 Sample Output 0 2 2 4 5 6 Explanation 0 Sort the 5 values in ascendign order.
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