[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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