PAT1007:Maximum Subsequence Sum
1007. Maximum Subsequence Sum (25)
Given a sequence of K integers { N1, N2, ..., NK }. A continuous subsequence is defined to be { Ni, Ni+1, ..., Nj } where 1 <= i <= j <= K. 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 (<= 10000). 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 思路 DP的思想。
这道题最关键点在于:确定最大值子序列的左右索引left和right。那么:
1.从左到右遍历序列时,如果遍历到第i个数时的累加和已经小于0,那么说明从这个数左边开始的所有可能的左半部序列到这个数的和都已经小于0,对于这个数右半部分的序列只减不增,还不如舍弃掉。因此最大和子序列肯定只会在这个数右边。所以暂存下新的左索引templeft = i + 1。
2.当遍历到第i个数时当前最大值tempsum已经大于输出最大值maxsum时,maxsum = tempsum,那么需要更新左右索引left = templeft 和 right = i.
3.对于遍历后maxsum < 0,说明整个序列只可能全是负数,不存在最大正数和的情况,根据题目要求令maxsum = 0,左右索引即为元序列的左右索引。 代码
#include<iostream>
#include<vector>
using namespace std;
int main()
{
int N;
while(cin >> N)
{
vector<int> nums(N);
int left = ,right = N - ,maxsum = -,tempsum = ,templeft = ;
for(int i = ;i < N;i++)
{
cin >> nums[i];
tempsum += nums[i];
if(tempsum < )
{
tempsum = ;
templeft = i + ;
}
else if (tempsum > maxsum)
{
left = templeft;
maxsum = tempsum;
right = i;
} }
if(maxsum < )
maxsum = ;
cout << maxsum << " " << nums[left] << " " << nums[right] << endl;
}
}
PAT1007:Maximum Subsequence Sum的更多相关文章
- 【DP-最大子串和】PAT1007. Maximum Subsequence Sum
1007. Maximum Subsequence Sum (25) 时间限制 400 ms 内存限制 32000 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Y ...
- pat1007. Maximum Subsequence Sum (25)
1007. Maximum Subsequence Sum (25) 时间限制 400 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Y ...
- Algorithm for Maximum Subsequence Sum z
MSS(Array[],N)//Where N is the number of elements in array { sum=; //current sum max-sum=;//Maximum ...
- 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 { N1,N2, ..., NK }. ...
- PTA (Advanced Level) 1007 Maximum Subsequence Sum
Maximum Subsequence Sum Given a sequence of K integers { N1, N2, ..., NK }. A continuous su ...
- PAT Maximum Subsequence Sum[最大子序列和,简单dp]
1007 Maximum Subsequence Sum (25)(25 分) Given a sequence of K integers { N~1~, N~2~, ..., N~K~ }. A ...
- PAT甲 1007. Maximum Subsequence Sum (25) 2016-09-09 22:56 41人阅读 评论(0) 收藏
1007. Maximum Subsequence Sum (25) 时间限制 400 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Y ...
- PAT 甲级 1007 Maximum Subsequence Sum (25)(25 分)(0不是负数,水题)
1007 Maximum Subsequence Sum (25)(25 分) Given a sequence of K integers { N~1~, N~2~, ..., N~K~ }. A ...
- PAT 1007 Maximum Subsequence Sum(最长子段和)
1007. Maximum Subsequence Sum (25) 时间限制 400 ms 内存限制 65536 kB 代码长度限制 16000 B 判题程序 Standard 作者 CHEN, Y ...
随机推荐
- platform_driver_probe与platform_driver_register的区别
Platform Device and Drivers 从<linux/platform_device.h>我们可以了解Platform bus上面的驱动模型接口:platform_de ...
- TCP 的那些事儿(上)(转)
本文转载自陈皓博文TCP 的那些事儿(上). TCP是一个巨复杂的协议,因为他要解决很多问题,而这些问题又带出了很多子问题和阴暗面.所以学习TCP本身是个比较痛苦的过程,但对于学习的过程却能让人有很多 ...
- Gradle 1.12用户指南翻译——第三十九章. IDEA 插件
本文由CSDN博客万一博主翻译,其他章节的翻译请参见: http://blog.csdn.net/column/details/gradle-translation.html 翻译项目请关注Githu ...
- obj-c中SEL签名和Invocation示例
参考小示例,代码如下: #import <Foundation/Foundation.h> @interface PlayList:NSObject @property NSMutable ...
- 深入理解JNI
深入理解JNI 最近在学习android底层的一些东西,看了一些大神的博客,整体上有了一点把握,也产生了很多疑惑,于是再次把邓大神的深入系列翻出来仔细看看,下面主要是一些阅读笔记. JNI概述 JNI ...
- 【11】-java递归和非递归二叉树前序中序后序遍历
二叉树的遍历 对于二叉树来讲最主要.最基本的运算是遍历. 遍历二叉树 是指以一定的次序访问二叉树中的每个结点.所谓 访问结点 是指对结点进行各种操作的简称.例如,查询结点数据域的内容,或输出它的值,或 ...
- LeetCode(50)-Word Pattern
题目: Given a pattern and a string str, find if str follows the same pattern. Here follow means a full ...
- javascript显式类型转换
尽管js可以做许多自动类型转换,但某些时候仍然需要做显示类型转换或为了代码逻辑清晰易读而做显示类型转换. 做显示类型转换最简单的方法就是用Boolean().Number().String()或Obj ...
- leetcode刷题指南
转载自:http://blog.csdn.net/lnho2015/article/details/50962989 以下是我个人做题过程中的一些体会: 1. LeetCode的题库越来越大,截止到目 ...
- RocketMQ源码 — 七、 RocketMQ高可用(2)
上一篇说明了RocketMQ怎么支持broker集群的,这里接着说RocketMQ实现高可用的手段之一--冗余. RocketMQ部署的时候一个broker set会有一个mater和一个或者多个sl ...