[POJ 1007] DNA Sorting C++解题

 
 
DNA Sorting
Time Limit: 1000MS   Memory Limit: 10000K
Total Submissions: 77786   Accepted: 31201

Description

One measure of ``unsortedness‘‘ in a sequence is the number of pairs of entries that are out of order with respect to each other. For instance, in the letter sequence ``DAABEC‘‘, this measure is 5, since D is greater than four letters to its right and E is greater than one letter to its right. This measure is called the number of inversions in the sequence. The sequence ``AACEDGG‘‘ has only one inversion (E and D)---it is nearly sorted---while the sequence ``ZWQM‘‘ has 6 inversions (it is as unsorted as can be---exactly the reverse of sorted).

You are responsible for cataloguing a sequence of DNA strings (sequences containing only the four letters A, C, G, and T). However, you want to catalog them, not in alphabetical order, but rather in order of ``sortedness‘‘, from ``most sorted‘‘ to ``least sorted‘‘. All the strings are of the same length.

Input

The first line contains two integers: a positive integer n (0 < n <= 50) giving the length of the strings; and a positive integer m (0 < m <= 100) giving the number of strings. These are followed by m lines, each containing a string of length n.

Output

Output the list of input strings, arranged from ``most sorted‘‘ to ``least sorted‘‘. Since two strings can be equally sorted, then output them according to the orginal order.

Sample Input

10 6
AACATGAAGG
TTTTGGCCAA
TTTGGCCAAA
GATCAGATTT
CCCGGGGGGA
ATCGATGCAT

Sample Output

CCCGGGGGGA
AACATGAAGG
GATCAGATTT
ATCGATGCAT
TTTTGGCCAA
TTTGGCCAAA

中文翻译:

 

1007 DNA 排序

题目大意:

     序列“未排序程度”的一个计算方式是元素乱序的元素对个数。例如:在单词序列“DAABEC‘”中,因为D大于右边四个单词,E大于C,所以计算结果为5。这种计算方法称为序列的逆序数。序列“AACEDGG”逆序数为1(E与D)——近似排序,而序列``ZWQM‘‘ 逆序数为6(它是已排序序列的反序)。

     你的任务是分类DNA字符串(只有ACGT四个字符)。但是你分类它们的方法不是字典序,而是逆序数,排序程度从好到差。所有字符串长度相同。

输入:

第一行包含两个数:一个正整数n(0<n<=50)表示字符串长度,一个正整数m(0<m<=100)表示字符串个数。接下来m行,每行一个长度为n的字符串。

输出:

输出输入字符串列表,按排序程度从好到差。如果逆序数相同,就原来顺序输出。

样例输入:

10 6

AACATGAAGG

TTTTGGCCAA

TTTGGCCAAA

GATCAGATTT

CCCGGGGGGA

ATCGATGCAT

 

样例输出:

CCCGGGGGGA

AACATGAAGG

GATCAGATTT

ATCGATGCAT

TTTTGGCCAA

TTTGGCCAAA

 

解决思路

 

 

 

这是一道比较简单的排序题,我用的是选择排序。

 

 

 

源码

  1 /*
  2 poj 1000
  3 version:1.0
  4 author:Knight
  5 Email:[email protected]
  6 */
  7 
  8 #include<cstdio>
  9  
 10 using namespace std;
 11  
 12 struct _stru_DNA
 13  
 14 {
 15  
 16     char String[52];
 17  
 18     int Measure;
 19  
 20 };
 21  
 22 _stru_DNA DNA[110];
 23  
 24 int n,m;
 25  
 26 //计算第Index条DNA的Measure
 27  
 28 void CountMeasure(int Index);
 29  
 30 //DNA排序
 31  
 32 void SortDNA();
 33  
 34  
 35  
 36 int main(void)
 37  
 38 {
 39  
 40     int i;
 41  
 42     scanf("%d%d", &n, &m);
 43  
 44     for (i=0; i<m; i++)
 45  
 46     {
 47  
 48         scanf("%s", DNA[i].String);
 49  
 50         CountMeasure(i);
 51  
 52         //printf("%d\n", DNA[i].Measure);
 53  
 54     }
 55  
 56     SortDNA();
 57  
 58     for (i=0; i<m; i++)
 59  
 60     {
 61  
 62         printf("%s\n", DNA[i].String);
 63  
 64         //printf("%d\n", DNA[i].Measure);
 65  
 66     }
 67  
 68     return 0;
 69  
 70 }
 71  
 72 //计算第Index条DNA的Measure
 73  
 74 void CountMeasure(int Index)
 75  
 76 {
 77  
 78     int i,j;
 79  
 80     int Measure = 0;
 81  
 82     for (i=0; i<n-1; i++)
 83  
 84     {
 85  
 86         if (A == DNA[Index].String[i])
 87  
 88         {
 89  
 90             continue;
 91  
 92         }
 93  
 94         for (j=i+1; j<n; j++)
 95  
 96         {
 97  
 98             if (DNA[Index].String[i] > DNA[Index].String[j])
 99  
100             {
101  
102                 Measure++;
103  
104             }
105  
106         }
107  
108     }
109  
110     DNA[Index].Measure = Measure;
111  
112 }
113  
114 //DNA排序
115  
116 void SortDNA()
117  
118 {
119  
120     int i,j;
121  
122     int MinIndex;
123  
124     _stru_DNA Tmp;
125  
126     for (i=0; i<m-1; i++)
127  
128     {
129  
130         MinIndex = i;
131  
132         for (j=i+1; j<m; j++)
133  
134         {
135  
136             if (DNA[j].Measure < DNA[MinIndex].Measure)
137  
138             {
139  
140                 MinIndex = j;
141  
142             }
143  
144         }
145  
146         Tmp = DNA[i];
147  
148         DNA[i] = DNA[MinIndex];
149  
150         DNA[MinIndex] = Tmp;
151  
152     }
153  
154 }

 

 

 

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