最大子序列和问题

 代码:

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
#include <iostream>
using namespace std;
 
//暴力求解  T(N)=O(n^3)
int  MaxSubSequm1(int list[], int n)
{
    int MaxSum = 0;
    for(int i = 0; i < n; i++)
    {
        for(int j = i; j < n; j++)
        {
            int ThisSum = 0;
            for(int k = i; k < j; k++)
            {
                ThisSum += list[k];
            }
            if(ThisSum > MaxSum)
            {
                MaxSum = ThisSum;
            }
        }
    }
    return MaxSum;
}
 
//暴力求解  T(N)=O(n^2)
int  MaxSubSequm2(int list[], int n)
{
    int MaxSum = 0;
    for(int i = 0; i < n; i++)
    {
        int ThisSum = 0;
        for(int j = i; j < n; j++)
        {
            ThisSum += list[j];
            if(ThisSum > MaxSum)
            {
                MaxSum = ThisSum;
            }
        }
    }
    return MaxSum;
}
 
//分而治之 T(N)=O(nlogn)
int Maxfun( int A, int B, int C )
{
    return (A > B) ? ((A > C) ? A : C) : ((B > C) ? B : C);
}
int DivideAndConquer(int list[], int left, int right)
{
    int MaxLeftSum, MaxRightSum; /* 存放左右子问题的解 */
    int MaxLeftBorderSum, MaxRightBorderSum; /*存放跨分界线的结果*/
  
    int LeftBorderSum, RightBorderSum;
    int center, i;
     
    if(left == right)
    {
        if(list[left] < 0)
        {
            return 0;
        }
        else{
            return list[left];
        }
    }
    else{
        center = (left + right) / 2;
    }
     
    MaxLeftSum = DivideAndConquer(list, left, center);
    MaxRightSum = DivideAndConquer(list, center+1, right);
     
    // 求跨分界线的最大子列和
    LeftBorderSum = 0; MaxLeftBorderSum = 0;
    RightBorderSum = 0; MaxRightBorderSum = 0;
    //从中线向左扫描
    for(int i = center; i > left; i--)
    {
        LeftBorderSum += list[i];
        if(LeftBorderSum > MaxLeftBorderSum)
        {
            MaxLeftBorderSum = LeftBorderSum;
        }
    }
    //从中线向右扫描
    for(int i = center; i < right; i++)
    {
        RightBorderSum += list[i];
        if(LeftBorderSum > MaxRightBorderSum)
        {
            MaxRightBorderSum = LeftBorderSum;
        }
    }
     
    //返回"治"的结果
    return Maxfun( MaxLeftSum, MaxRightSum, MaxLeftBorderSum + MaxRightBorderSum );
}
int MaxSubSequm3(int list[], int n)
{
    return DivideAndConquer(list, 0, n-1);
}
 
 
//在线处理 T(N)=O(n)
int  MaxSubSequm4(int list[], int n)
{
    int ThisSum = 0;
    int MaxSum = 0;
    for(int i = 0; i < n; i++)
    {
        ThisSum += list[i];
        if(ThisSum > MaxSum)
        {
            MaxSum = ThisSum;
        }
        else if(ThisSum < 0)
        {
            ThisSum = 0;
        }
    }
    return MaxSum;
 
void test()
{
    //int list[6] = { -2, 11, -4, 13, -5, -2 };
    int list[1] = {-1};
    //int list[9] = {-2,1,-3,4,-1,2,1,-5,4};
    int n;
    n = sizeof(list) / sizeof(list[0]);
    int Maxsum1, Maxsum2, Maxsum3, Maxsum4;
    Maxsum1 = MaxSubSequm1(list, n);
     
    Maxsum2 = MaxSubSequm2(list, n);
     
    Maxsum3 = MaxSubSequm3(list, n);
     
    Maxsum4 = MaxSubSequm4(list, n);
     
    cout << Maxsum1 << endl;
    cout << Maxsum2 << endl;
    cout << Maxsum2 << endl;
    cout << Maxsum4 << endl;
}
 
int main()
{
    test();
     
    system("pause");
    return 0;
}

  

posted @   KYZH  阅读(15)  评论(0编辑  收藏  举报
相关博文:
阅读排行:
· 分享一个免费、快速、无限量使用的满血 DeepSeek R1 模型,支持深度思考和联网搜索!
· 基于 Docker 搭建 FRP 内网穿透开源项目(很简单哒)
· ollama系列01:轻松3步本地部署deepseek,普通电脑可用
· 25岁的心里话
· 按钮权限的设计及实现
点击右上角即可分享
微信分享提示