210 likes | 331 Vues
This guide focuses on the essential concepts of sorting algorithms, particularly the merge sort technique and its implementation. Merge sort is a divide-and-conquer strategy involving three main steps: divide the sequence into sub-sequences, recursively sort those sub-sequences, and then conquer by merging them into a singular sorted sequence. The complexity of merge sort is O(n log n), making it significantly faster than traditional algorithms like bubble sort. Additionally, we explore sets, the Set Abstract Data Type (ADT), and related operations.
E N D
Sorting, Sets, and Selecting • Ed. 2. and 3.: Chapter 10 • Ed. 4.: Chapter 11
Sorting, Sets, and Selection • Merge-sort • - Divide-and-conquer strategy • - Merge process and merge-sort • Sets • - Set ADT • - Set operations • Quick-sort • - Simple quick-sort • - In-place quick-sort
Therefore, the merge sort involves three steps in sorting a sequence S with n elements: 1. Divide: If S has zero or one element, return S immediately; it is already sorted. Otherwise, split S into two sequences S1 and S2, each containing about half of the elements in S; that is, S1 contains the first n/2 elements of S, and S2 contains the rest. 2. Recur: Recursively sort sequence S1 and S2. 3. Conquer: Put back the elements into S by merging the sorted sequences S1 and S2 into a sorted sequence.
The figure here shows how the sequence is divided in the previous example. 85 24 63 45 17 31 96 50 85 24 63 45 17 31 96 50 85 24 63 45 17 31 96 50 85 24 63 45 17 31 96 50
The figure here shows how the sequences are merged in the previous example. 17 24 45 50 63 85 96 31 24 45 63 85 17 31 50 96 63 50 96 24 85 45 17 31 85 24 63 45 17 31 96 50
take the first element comparison Put remaining elements in S1 into S Put remaining elements in S2 into S
The Running Time of Merge Sort The running time of merge sort is proportional to nlogn where n is the size of the sequence. running time = O(nlogn). Recall that the running time for bubble sort is proportional to the square of n. Therefore merge sort is much faster than bubble sort.
public class Comparator { public int compare(Object v1, Object v2) { if (((Integer) v1).intValue() < ((Integer) v2).intValue()) return -1; else if (((Integer) v1).intValue() == ((Integer) v2).intValue()) return 0; return 1; } public boolean isLessThan (Object v1, Object v2) { Integer u1 = (Integer) v1; Integer u2 = (Integer) v2; if (u1.intValue() < u2.intValue()) return true; return false; }
public boolean isEqualTo (Object v1, Object v2) { Integer u1 = (Integer) v1; Integer u2 = (Integer) v2; if (u1.intValue() == u2.intValue()) return true; return false; } public boolean isLargerThan (Object v1, Object v2) { Integer u1 = (Integer) v1; Integer u2 = (Integer) v2; if (u1.intValue() > u2.intValue()) return true; return false; } }