歸併排序演算法一窺

來源:互聯網
上載者:User

標籤:style   blog   http   color   使用   os   io   2014   

歸併排序法是一個基於分治法的比較排序方法,其最差情況複雜度為O(nlogn),而快速排序法的複雜度在最差情況下達到O(n2)

本文使用PHP來討論其演算法過程:

假設對亂序數列進行排序

 $input = array(11,5,1,4,8,7,9,2);

思路可以表示:(圖是PPT畫的,比較簡單,請看官見諒)

  1. 進行遞迴二分,拆成最小組合,2個數;
  2. 逐層返回,每次返回都進行合并比較;

比較的過程如下

貼上PHP代碼:

 1 <?php 2 $input = array(11,5,1,4,8,7,9,2); 3 function merge_sort($arr){ 4     if(count($arr)<=1){ 5         echo "return array:"; 6         print_r($arr); 7         echo "<br>"; 8         return $arr; 9     }10     $left = array_slice($arr,0,(int)(count($arr)/2));11     $right= array_slice($arr,(int)(count($arr)/2));12 13     $left = merge_sort($left);14     $right = merge_sort($right);15 16     echo "Left: ";17     print_r($left);18     echo "<br>";19     echo "right: ";20     print_r($right);21     echo "<br>";22 23     $output = merge($left,$right);24 25     return $output;26 }27 28 function merge($left,$right){29     echo "compare:"; 30     print_r($left);31     print_r($right);32     echo "<br><br>";33     34     $result = array();35     while(count($left)>0 && count($right)>0){36         if($left[0] <= $right[0]){37             array_push($result,array_shift($left));38         }else{39             array_push($result,array_shift($right));40         }41     }42     array_splice($result,count($result),0,$left);43     array_splice($result,count($result),0,$right);44     45     return $result;46 }47 print_r($input);48 echo "<br>";49 $output = merge_sort($input);50 echo "result:<br>";51 print_r($output);52 ?>
View Code

貼上列印結果:

Array ( [0] => 11 [1] => 5 [2] => 1 [3] => 4 [4] => 8 [5] => 7 [6] => 9 [7] => 2 ) return array:Array ( [0] => 11 ) return array:Array ( [0] => 5 ) Left: Array ( [0] => 11 ) right: Array ( [0] => 5 ) compare:Array ( [0] => 11 ) Array ( [0] => 5 ) return array:Array ( [0] => 1 ) return array:Array ( [0] => 4 ) Left: Array ( [0] => 1 ) right: Array ( [0] => 4 ) compare:Array ( [0] => 1 ) Array ( [0] => 4 ) Left: Array ( [0] => 5 [1] => 11 ) right: Array ( [0] => 1 [1] => 4 ) compare:Array ( [0] => 5 [1] => 11 ) Array ( [0] => 1 [1] => 4 ) return array:Array ( [0] => 8 ) return array:Array ( [0] => 7 ) Left: Array ( [0] => 8 ) right: Array ( [0] => 7 ) compare:Array ( [0] => 8 ) Array ( [0] => 7 ) return array:Array ( [0] => 9 ) return array:Array ( [0] => 2 ) Left: Array ( [0] => 9 ) right: Array ( [0] => 2 ) compare:Array ( [0] => 9 ) Array ( [0] => 2 ) Left: Array ( [0] => 7 [1] => 8 ) right: Array ( [0] => 2 [1] => 9 ) compare:Array ( [0] => 7 [1] => 8 ) Array ( [0] => 2 [1] => 9 ) Left: Array ( [0] => 1 [1] => 4 [2] => 5 [3] => 11 ) right: Array ( [0] => 2 [1] => 7 [2] => 8 [3] => 9 ) compare:Array ( [0] => 1 [1] => 4 [2] => 5 [3] => 11 ) Array ( [0] => 2 [1] => 7 [2] => 8 [3] => 9 ) result:Array ( [0] => 1 [1] => 2 [2] => 4 [3] => 5 [4] => 7 [5] => 8 [6] => 9 [7] => 11 )
View Code

 

聯繫我們

該頁面正文內容均來源於網絡整理,並不代表阿里雲官方的觀點,該頁面所提到的產品和服務也與阿里云無關,如果該頁面內容對您造成了困擾,歡迎寫郵件給我們,收到郵件我們將在5個工作日內處理。

如果您發現本社區中有涉嫌抄襲的內容,歡迎發送郵件至: info-contact@alibabacloud.com 進行舉報並提供相關證據,工作人員會在 5 個工作天內聯絡您,一經查實,本站將立刻刪除涉嫌侵權內容。

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.