Consolidate the foundation -- merge and sort

Source: Internet
Author: User

Logical Structure: recursive Stack

Physical Structure: Array


Merge Sort Analysis:

Optimal Time Complexity: O (N)

Worst time complexity: O (nlog2n)

Average time complexity: O (nlog2n)

Worst space complexity: O (N)

Stability: Stability


Merge Sorting mainly has two functions:

1. Merge and sort int mergearray (int * list1, int list1_size, int * list2, int list2_size );

2 recursive Merge Sorting int mergesort (int * List, int list_size );

3 Non-recursive Merge Sorting int mergesort (int * List, int list_size );


// One-time Merge Sorting int mergearray (int * list1, int list1_size, int * list2, int list2_size) {int I, J, K, A; I = J = k = 0; int * List = (int *) malloc (sizeof (INT) * (listparts size + list2_size); While (I <listparts size & J <list2_size) {If (* (list1 + I) <= * (list2 + J) {* (list + k) = * (list1 + I); I ++; k ++;} else {* (list + k) = * (list2 + J); j ++; k ++ ;}} while (I <listparts size) {* (list + k) = * (list1 + I); I ++; k ++;} while (j <list2_size) {* (list + k) = * (list2 + J); j ++; k ++;} for (a = 0; A <(listparts size + list2_size); A ++) * (list1 + a) = * (list + a); free (list );}

// Recursive Merge Sorting int mergesort (int * List, int list_size) {If (list_size> 1) {int * list1 = List; int list1_size = list_size/2; int * list2 = List + list_size/2; int list2_size = list_size-list1_size; mergesort (list1, list1_size); mergesort (list2, list2_size); mergearray (list1, list1_size, list2, list2_size );}}

// Non-recursive Merge Sorting int nonmergesort (int * List, int list_size) {int I, l_min, l_max, r_min, r_max, cursor; int * aux = (int *) malloc (sizeof (INT) * list_size); for (I = 1; I <list_size; I * = 2) {for (l_min = 0; l_min <list_size-I; l_min = r_max) {r_min = l_max = l_min + I; r_max = l_max + I; If (r_max> list_size) r_max = list_size; cursor = 0; while (l_min <l_max & r_min <r_max) {If (list [l_min] <= list [r_min]) {aux [cursor ++] = list [l_min ++];} else {aux [cursor ++] = list [r_min ++];} while (l_min <l_max) aux [cursor ++] = list [l_min ++]; while (r_min <r_max) Aux [cursor ++] = list [r_min ++]; while (cursor> 0) list [-- r_min] = aux [-- cursor] ;}} free (Aux );}

// Non-recursive Merge Sorting int nonmergesort1 (int * List, int length) {int I, left_min, left_max, right_min, right_max, next; int * TMP = (int *) malloc (sizeof (INT) * length); If (TMP = NULL) {fputs ("error: out of memory \ n", stderr); abort ();} for (I = 1; I <length; I * = 2) {for (left_min = 0; left_min <length-I; left_min = right_max) {right_min = left_max = left_min + I; right_max = left_max + I; If (right_max > Length) right_max = length; next = 0; while (left_min <left_max & right_min <right_max) TMP [next ++] = list [left_min]> list [right_min]? List [right_min ++]: list [left_min ++]; while (left_min <left_max) list [-- right_min] = list [-- left_max]; while (next> 0) list [-- right_min] = TMP [-- next] ;}} free (TMP );}


Consolidate the foundation -- merge and sort

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.