Subsequence

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 6141    Accepted Submission(s): 2041

Problem Description
There is a sequence of integers. Your task is to find the longest subsequence that satisfies the following condition: the difference between the maximum element and the minimum element of the subsequence is no smaller than m and no larger than k.
 
Input
There are multiple test cases.
For each test case, the first line has three integers, n, m and k. n is the length of the sequence and is in the range [1, 100000]. m and k are in the range [0, 1000000]. The second line has n integers, which are all in the range [0, 1000000].
Proceed to the end of file.
 
Output
For each test case, print the length of the subsequence on a single line.
 
Sample Input
5 0 0
1 1 1 1 1
5 0 3
1 2 3 4 5
 
Sample Output
5
4
思路:优先队列+尺取;
我们不用去管这个子串中的最大最小的距离是否大于等于m,我们只要保证这个值小于等于k时继续向右端扩展,应为向右端扩展尺取时,当前值是越来越大的。比如当[l,r]满足dis>=m,那么[l,r+s],的dis>=m;所以我们不需要管m。然后就是尺取中,更新最大最小值的问题,这个用优先队列维护下。复杂度N*log(N);
  1 #include<stdio.h>
2 #include<algorithm>
3 #include<iostream>
4 #include<string.h>
5 #include<stdlib.h>
6 #include<queue>
7 #include<stack>
8 using namespace std;
9 typedef long long LL;
10 int ask[100005];
11 int cnt[100005];
12 struct node1
13 {
14 int x;
15 int id;
16 bool operator<(const node1 &cx)const
17 {
18 if(cx.x == x)
19 return cx.id<id;
20 else return cx.x>x;
21 }
22 };
23 struct node2
24 {
25 int x;
26 int id;
27 bool operator<(const node2 &cx)const
28 {
29 if(cx.x == x)
30 return cx.id<id;
31 else return cx.x<x;
32 }
33 };
34 priority_queue<node1>que1;
35 priority_queue<node2>que2;
36 int main(void)
37 {
38 int n,m,k;
39 while(scanf("%d %d %d",&n,&m,&k)!=EOF)
40 {
41 while(!que1.empty())que1.pop();
42 while(!que2.empty())que2.pop();
43 int i,j;
44 for(i = 0; i < n; i++)
45 {
46 scanf("%d",&ask[i]);
47 }
48 int l = 0;
49 int r = 0;
50 int cc = 0;
51 int ma = ask[0];
52 int mi = ask[0];
53 int x = abs(ma-mi);
54 if(x <= k&&x >= m)cc = 1;
55 node1 ak;
56 node2 ap;
57 ak.x =ask[0];
58 ak.id = 0;
59 ap.x = ask[0];
60 ap.id = 0;
61 que1.push(ak);
62 que2.push(ap);
63 while(l<=r&&r<n)
64 {
65 while(x <= k &&r < n-1)
66 {
67 r++;
68 int c = abs(ask[r]-ma);
69 c = max(abs(ask[r]-mi),c);
70 if(c > k)
71 { //printf("%d %d\n",l,r);
72 r--;
73 break;
74 }
75 node1 ac;
76 ac.x = ask[r];
77 ac.id = r;
78 node2 bc;
79 bc.x= ask[r];
80 bc.id = r;
81 que1.push(ac);
82 que2.push(bc);
83 if(ask[r] > ma)
84 {
85 ma = ask[r];
86 }
87 else if(ask[r] < mi)
88 {
89 mi = ask[r];
90 }
91 x = abs(ma-mi);//printf("%d\n",x);
92 }
93 if(x >= m)
94 {
95 cc = max(cc,r-l+1);
96 }
97 if(ask[l] == ma)
98 {
99 while(!que1.empty())
100 {
101 node1 acc = que1.top();
102 if(acc.id <= l)
103 {
104 que1.pop();
105 }
106 else
107 {
108 ma = acc.x;
109 break;
110 }
111 }
112 }
113 if(ask[l]==mi)
114 {
115 while(!que2.empty())
116 {
117 node2 acc = que2.top();
118 if(acc.id <= l)
119 {
120 que2.pop();
121 }
122 else
123 {
124 mi = acc.x;
125 break;
126 }
127 }
128 }
129 l++;
130 if(l == r+1)
131 { //printf("%d\n",r);
132 r++;
133 node1 akk;
134 node2 app;
135 akk.x =ask[r];
136 akk.id = r;
137 app.x = ask[r];
138 app.id = r;
139 que1.push(akk);
140 que2.push(app);
141 mi = ask[r];
142 ma = ask[r];
143 }
144 }
145 printf("%d\n",cc);
146 }
147 return 0;
148 }
 

Subsequence(hdu3530)的更多相关文章

  1. HDUOJ ---1423 Greatest Common Increasing Subsequence(LCS)

    Greatest Common Increasing Subsequence Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536 ...

  2. Poj 2533 Longest Ordered Subsequence(LIS)

    一.Description A numeric sequence of ai is ordered if a1 < a2 < ... < aN. Let the subsequenc ...

  3. 1423 Greatest Common Increasing Subsequence (LCIS)

    讲解摘自百度; 最长公共上升子序列(LCIS)的O(n^2)算法? 预备知识:动态规划的基本思想,LCS,LIS.? 问题:字符串a,字符串b,求a和b的LCIS(最长公共上升子序列).? 首先我们可 ...

  4. Subsequence(HDU3530+单调队列)

    题目链接 传送门 题面 题意 找到最长的一个区间,使得这个区间内的最大值减最小值在\([m,k]\)中. 思路 我们用两个单调队列分别维护最大值和最小值,我们记作\(q1\)和\(q2\). 如果\( ...

  5. POJ 2533-Longest Ordered Subsequence(DP)

    Longest Ordered Subsequence Time Limit: 2000MS   Memory Limit: 65536K Total Submissions: 34454   Acc ...

  6. HPU第三次积分赛-D:Longest Increasing Subsequence(DP)

    Longest Increasing Subsequence 描述 给出一组长度为n的序列,a1​,a2​,a3​,a4​...an​, 求出这个序列长度为k的严格递增子序列的个数 输入 第一行输入T ...

  7. HDU 1423 Greatest Common Increasing Subsequence(LCIS)

    Greatest Common Increasing Subsequenc Problem Description This is a problem from ZOJ 2432.To make it ...

  8. Longest common subsequence(LCS)

    问题 说明该问题在生物学中的实际意义 Biological applications often need to compare the DNA of two (or more) different ...

  9. 第六周 Leetcode 446. Arithmetic Slices II - Subsequence (HARD)

    Leetcode443 题意:给一个长度1000内的整数数列,求有多少个等差的子数列. 如 [2,4,6,8,10]有7个等差子数列. 想了一个O(n^2logn)的DP算法 DP[i][j]为 对于 ...

随机推荐

  1. Python队列queue模块

    Python中queue模块常用来处理队列相关问题 队列常用于生产者消费者模型,主要功能为提高效率和程序解耦 1. queue模块的基本使用和相关说明 # -*- coding:utf-8 -*- # ...

  2. 深入了解scanf() getchar()和gets()等函数之间的区别

    scanf(), getchar()等都是标准输入函数,一般人都会觉得这几个函数非常简单,没什么特殊的.但是有时候却就是因为使用这些函数除了问题,却找不出其中的原因.下面先看一个很简单的程序: 程序1 ...

  3. Excel-计算年龄、工龄 datedif()

    函数名称:DATEDIF 主要功能:计算返回两个日期参数的差值. 使用格式:=DATEDIF(date1,date2,"y").=DATEDIF(date1,date2," ...

  4. Requests的安装和使用

    一.Requests的安装1.pip3 install requests2.验证 import requests 不报错即可

  5. 05 Windows安装python3.6.4+pycharm环境

    windows安装python3.6.4环境 使用微信扫码关注微信公众号,并回复:"Python工具包",免费获取下载链接! 一.卸载python环境 卸载以下软件: 二.安装py ...

  6. A Child's History of England.50

    'Knave [man without honor]!' said King Richard. 'What have I done to thee [you] that thou [you] shou ...

  7. Spark(十一)【SparkSQL的基本使用】

    目录 一. SparkSQL简介 二. 数据模型 三. SparkSQL核心编程 1. IDEA开发SparkSQL 2. SparkSession 创建 关闭 获取SparkContext 3. D ...

  8. 容器之分类与各种测试(三)——list部分用法

    list是一个双向链表 例程 #include<stdexcept> #include<memory.h> #include<string> #include< ...

  9. 一份不错的Java就业指导

    想要成为合格的Java程序员或工程师到底需要具备哪些专业技能,面试者在面试之前到底需要准备哪些东西呢? 本文陈列的这些内容既可以作为个人简历中的内容,也可以作为面试的时候跟面试官聊的东西,你可以把这些 ...

  10. android:为TextView添加样式、跑马灯、TextSwitcher和ImageSwitcher实现平滑过渡

    一.样式 设置下划线: textView.getPaint().setFlags(Paint.UNDERLINE_TEXT_FLAG);//下划线 textView.getPaint().setAnt ...