Given a sequence of K integers { N​1​​, N​2​​, ..., N​K​​ }. A continuous subsequence is defined to be { N​i​​, N​i+1​​, ..., N​j​​ } where 1. The Maximum Subsequence is the continuous subsequence which has the largest sum of its elements. For example, given sequence { -2, 11, -4, 13, -5, -2 }, its maximum subsequence is { 11, -4, 13 } with the largest sum being 20.

Now you are supposed to find the largest sum, together with the first and the last numbers of the maximum subsequence.

Input Specification:

Each input file contains one test case. Each case occupies two lines. The first line contains a positive integer K (≤). The second line contains K numbers, separated by a space.

Output Specification:

For each test case, output in one line the largest sum, together with the first and the last numbers of the maximum subsequence. The numbers must be separated by one space, but there must be no extra space at the end of a line. In case that the maximum subsequence is not unique, output the one with the smallest indices i and j (as shown by the sample case). If all the K numbers are negative, then its maximum sum is defined to be 0, and you are supposed to output the first and the last numbers of the whole sequence.

Sample Input:

10
-10 1 2 3 4 -5 -23 3 7 -21

Sample Output:

10 1 4
#include <stdio.h>
#include <stdlib.h>
#include <algorithm>
using namespace std;
const int maxn = ;
int s[maxn] = { };
int res[maxn] = { };
int main(){
int n;
scanf("%d", &n);
for (int i = ; i<n; i++){
scanf("%d", &s[i]);
}
res[] = s[];
for (int i = ; i<n; i++){
res[i] = max(s[i], res[i - ] + s[i]);
}
/*for (int i = 1; i < n; i++){
if (res[i - 1] + s[i] < 0)res[i] = s[i];
else res[i] = res[i - 1] + s[i];
}*/
int maxi = ;
for (int i = ; i<n; i++){
if (res[i]>res[maxi]){
maxi = i;
}
}
if (maxi == && s[]<)printf("0 %d %d", s[], s[n - ]);
else{
printf("%d ", res[maxi]);
int mini = maxi;
int sum = ;
do{
sum += s[mini--]; } while (sum != res[maxi]);
mini++;
printf("%d %d", s[mini], s[maxi]);
}
system("pause");
}

注意点:又是最大子列和问题,不仅要最大子列和答案,还要输出子列的首尾数字。知道可以用动态规划做,做了半天答案一直错误,发现是动态规划想错了,不是一小于0就把值赋给自己,而是要取(自己)和(自己加上前面的最大子列和)的最大值。后面找索引时要用do...while,否则最大子列和只有自身一个数的时候会出错。

PAT A1007 Maximum Subsequence Sum (25 分)——最大子列和,动态规划的更多相关文章

  1. PAT 1007 Maximum Subsequence Sum (25分)

    题目 Given a sequence of K integers { N​1​​ , N​2​​ , ..., N​K​​ }. A continuous subsequence is define ...

  2. 中国大学MOOC-陈越、何钦铭-数据结构-2015秋 01-复杂度2 Maximum Subsequence Sum (25分)

    01-复杂度2 Maximum Subsequence Sum   (25分) Given a sequence of K integers { N​1​​,N​2​​, ..., N​K​​ }. ...

  3. PTA 01-复杂度2 Maximum Subsequence Sum (25分)

    题目地址 https://pta.patest.cn/pta/test/16/exam/4/question/663 5-1 Maximum Subsequence Sum   (25分) Given ...

  4. 1007 Maximum Subsequence Sum (25分) 求最大连续区间和

    1007 Maximum Subsequence Sum (25分)   Given a sequence of K integers { N​1​​, N​2​​, ..., N​K​​ }. A ...

  5. 1007 Maximum Subsequence Sum (25 分)

    1007 Maximum Subsequence Sum (25 分)   Given a sequence of K integers { N​1​​, N​2​​, ..., N​K​​ }. A ...

  6. python编写PAT 1007 Maximum Subsequence Sum(暴力 分治法 动态规划)

    python编写PAT甲级 1007 Maximum Subsequence Sum wenzongxiao1996 2019.4.3 题目 Given a sequence of K integer ...

  7. PAT - 测试 01-复杂度2 Maximum Subsequence Sum (25分)

    1​​, N2N_2N​2​​, ..., NKN_KN​K​​ }. A continuous subsequence is defined to be { NiN_iN​i​​, Ni+1N_{i ...

  8. PAT Advanced 1007 Maximum Subsequence Sum (25 分)

    Given a sequence of K integers { N​1​​, N​2​​, ..., N​K​​ }. A continuous subsequence is defined to ...

  9. 01-复杂度2 Maximum Subsequence Sum (25 分)

    Given a sequence of K integers { N​1​​, N​2​​, ..., N​K​​ }. A continuous subsequence is defined to ...

随机推荐

  1. linux7 安装GitLab

    1.安装Linux虚拟机-- 安装后配置a.停止防火墙# systemctl stop firewalld.service# systemctl disable firewalld.service# ...

  2. python 生成器 和生成器函数 以及各种推导式

    一.生成器    本质就是迭代器. 我们可以直接执⾏__next__()来执⾏ 以下⽣成器 一个一个的创建对象 创建生成器的方式: 1.生成器函数 2.通过生成器 表达式来获取生成器 3.类型转换(看 ...

  3. 【读书笔记】iOS-关闭键盘的2种方法

    一种是通过使用键盘上的return键关闭键盘,一种是通过触摸背景关闭键盘. 参考资料:<iOS7开发快速入门>

  4. 图像增强算法(直方图均衡化、拉普拉斯、Log、伽马变换)

    一.图像增强算法原理 图像增强算法常见于对图像的亮度.对比度.饱和度.色调等进行调节,增加其清晰度,减少噪点等.图像增强往往经过多个算法的组合,完成上述功能,比如图像去燥等同于低通滤波器,增加清晰度则 ...

  5. 【CLR Via C#】15 枚举类型与位类型

    1.基础 枚举类型(enumerated types)定义了一组“符号名称/值”配对. 枚举类型是值类型,每个枚举类型都是从System.Enum派生的,而System.Enum又是从System.V ...

  6. 特来电CMDB应用实践

    配置管理数据库(Configuration Management Database,以下简称CMDB)是一个老生常谈的话题,不同的人有不同的见解,实际应用时,因为企业成熟度以及软硬件规模不同,别人的成 ...

  7. Android 系统中运行jar文件

    在android系统中运行jar操作步骤: 1.       打包编译jar包 2.       将jar包导入android设备中 adb push test.jar  /data/local/tm ...

  8. 双启动:安装Windows 7 和 CentOS 7 双系统教程

    笔记本配置:8G内存,200G SSD,先在virbox中成功安装双系统,能正常进入并使用 Windows 7 和 CentOS 7. 网上看到一大堆的安装 wingrub  easyBCD,折腾了一 ...

  9. SQL Server 2000中的并行处理和执行计划中的位图运算符

    SQL Server 2000中的并行处理和执行计划中的位图运算符 摘抄自:SQLServer 2000并行处理和位图简介 刘志斌 并行查询介绍Degree of Parallelism(并行度) 一 ...

  10. 使用 Azure PowerShell 监视和更新 Windows 虚拟机

    Azure 监视使用代理从 Azure VM 收集启动和性能数据,将此数据存储在 Azure 存储中,并使其可供通过门户.Azure PowerShell 模块和 Azure CLI 进行访问. 使用 ...