Counting Sort
by Isai Damier, Android Engineer @ Google
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | /*************************************************************************** * Author: Isai Damier * Title: Singly Linked List * Project: geekviewpoint * Package: datastructure * * Description: A LinkedList is a data structure that allows access * to a collection of data using pointers/references. While an * array can also be defined as above, LinkedLists and arrays differ * in how they are stored in memory and in the operations they * allow. Unlike an array that must be stored in a block of memory, * the nodes of a LinkedList can be stored anywhere because each * node has a reference to the node that succeeds it. Because the * nodes are stored so loosely, inserting nodes into a LinkedList * is easy; whereas in an array, all the succeeding elements must * be shifted. Of course, insertion also means changing the size of * the array, which means creating the entire array anew. * * Perhaps the greatest beauty of LinkedList is that it allows * accessing an entire sequence of nodes using only one variable: * a reference to the first node in the sequence. * * Countless operations can be performed on LinkedLists. Following * are a few, ranging from the common to the very interesting. **************************************************************************/ public class SinglyLinkedList { Node head = null ; Node tail = null ; /************************************************************************ * Time Complexity of Solution: * O(n*log n). * * Description: sort this LinkedList * * Technical Details: If the elements of this LinkedList fall within a * known short range, then it makes sense to use an integer algorithm * like counting sort (ref geekviewpoint/java/sorting/counting_sort), * since integer algorithms are very fast. * * To keep the implementation simple, assume the elements range from 0 * to max, inclusive. Counting sort then proceeds by creating a bucket * for each key; incrementing a counter each time a key recurs in the * list; then emptying the buckets back into the LinkedList. ************************************************************************/ public void countingSort( int max) { //create a bucket for each key int A[] = new int [max + 1 ]; //Java initializes int arrays to 0. //count recurrence of keys for (Node t = head; null != t; t = t.next) { A[t.data]++; } //swap sorted data back into LinkedList Node t = head; for ( int i = 0 ; i < A.length; i++) { for ( int x = 0 ; x < A[i]; x++) { t.data = i; t = t.next; } } } } |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | public class SinglyLinkedListTest { /** * Test of countingSort method, of class SinglyLinkedList. */ @Test public void testCountingSort() { System.out.println( "countingSort" ); int [] input = { 9 , 4 , 5 , 2 , 1 , 12 , 6 , 7 , 4 , 8 , 3 , 0 , 16 , 19 , 11 }; SinglyLinkedList linkedList = new SinglyLinkedList(); for ( int i = 0 ; i < input.length; i++) { linkedList.addToTail(input[i]); } assertTrue(Arrays.equals(input, linkedList.toArray())); Arrays.sort(input); assertFalse(Arrays.equals(input, linkedList.toArray())); linkedList.countingSort( 19 ); assertTrue(Arrays.equals(input, linkedList.toArray())); } } |