Cow Patterns

Description

A particular subgroup of K (1 <= K <= 25,000) of Farmer John's cows likes to make trouble. When placed in a line, these troublemakers stand together in a particular order. In order to locate these troublemakers, FJ has lined up his N (1 <= N <= 100,000) cows. The cows will file past FJ into the barn, staying in order. FJ needs your help to locate suspicious blocks of K cows within this line that might potentially be the troublemaking cows.

FJ distinguishes his cows by the number of spots 1..S on each cow's coat (1 <= S <= 25). While not a perfect method, it serves his purposes. FJ does not remember the exact number of spots on each cow in the subgroup of troublemakers. He can, however, remember which cows in the group have the same number of spots, and which of any pair of cows has more spots (if the spot counts differ). He describes such a pattern with a sequence of K ranks in the range 1..S. For example, consider this sequence:

      1 4 4 3 2 1

In this example, FJ is seeking a consecutive sequence of 6 cows from among his N cows in a line. Cows #1 and #6 in this sequence have the same number of spots (although this number is not necessarily 1) and they have the smallest number of spots of cows #1..#6 (since they are labeled as '1'). Cow #5 has the second-smallest number of spots, different from all the other cows #1..#6. Cows #2 and #3 have the same number of spots, and this number is the largest of all cows #1..#6.

If the true count of spots for some sequence of cows is:

 5 6 2 10 10 7 3 2 9

then only the subsequence 2 10 10 7 3 2 matches FJ's pattern above.

Please help FJ locate all the length-K subsequences in his line of cows that match his specified pattern.

Input

Line 1: Three space-separated integers: N, K, and S

Lines 2..N+1: Line i+1 describes the number of spots on cow i.

Lines N+2..N+K+1: Line i+N+1 describes pattern-rank slot i.

Output

Line 1: The number of indices, B, at which the pattern matches

Lines 2..B+1: An index (in the range 1..N) of the starting location where the pattern matches.

Sample Input

9 6 10
5
6
2
10
10
7
3
2
9
1
4
4
3
2
1

Sample Output

1
3

Hint

Explanation of the sample:

The sample input corresponds to the example given in the problem statement.

There is only one match, at position 3 within FJ's sequence of N cows.

 
 
 
【题意】
  

  给定一个模式串,如果在主串中存在这样一个子串:子串长度与模式串长度相同,且子串中各个数字的大、小、同关系和模式串中的大、小、同关系是一样的,就称该子串满足条件。

  比如说模式串:1,4,4,2,3,1 而主串:5,6,2,10,10,7,3,2,9

  那么主串第三位开始的2,10,10,7,3,2就是满足条件的。(即两个子串离散值相等则为相等)

【分析】

  如果单纯判断字母串相等,这题可以用普通的KMP做,但是这里重新定义了相等,我们就要在原的KMP中修改一下。

  两个子串相等,当且仅当其离散值相等。

  

  如图,假设我们已经判断粉框内子串完全相等,我们现在判断各新加一个元素后是否相等:

  只要判断->A串中小于新元素的数字个数 等于 B串中小于新元素的数字个数

  且 A串中等于新元素的数字个数 等于 B串中等于新元素的数字个数 即可。(想一下 离散值 相等 就知道了)

  所以,只要在较快时间内求出区间小于数k的元素个数即可。

  对于A串,我们可以发现粉框的左端是不断向右移的,所以可以用权值树状数组动态维护。

  那个...粉框左端不断向右移,今天才发现~~KMP没学透吧...

代码如下:

 #include<cstdio>
#include<cstdlib>
#include<cstring>
#include<iostream>
#include<algorithm>
using namespace std;
#define Maxn 100010
#define Maxk 25010 int n,k,s;
int a[Maxn],b[Maxk],rk[Maxk],sm[Maxk];
int c[];
int nt[Maxk],td[Maxn]; struct node
{
int x,id;
}t[Maxk]; bool cmp(node x,node y) {return x.x<y.x;} void add(int x,int y)
{
for(int i=x;i<=;i+=i&(-i))
c[i]+=y;
} int gsum(int x)
{
int ans=;
for(int i=x;i>=;i-=i&(-i))
{
ans+=c[i];
}
return ans;
} void init()
{
scanf("%d%d%d",&n,&k,&s);
for(int i=;i<=n;i++) scanf("%d",&a[i]);
for(int i=;i<=k;i++) {scanf("%d",&t[i].x);t[i].id=i;}
sort(t+,t++k,cmp); int p=;b[t[].id]=;
for(int i=;i<=k;i++)
{
if(t[i].x!=t[i-].x) p++;
b[t[i].id]=p;
} memset(c,,sizeof(c));
for(int i=;i<=k;i++)
{
rk[i]=gsum(b[i]-);//less than b[i]
sm[i]=gsum(b[i]);//less or the same as b[i]
add(b[i],);
}
memset(c,,sizeof(c));
} void kmp()
{
nt[]=;
int p=;
for(int i=;i<=k;i++)
{
while((gsum(b[i]-)!=rk[p+]||gsum(b[i])!=sm[p+])&&p)
{
for(int j=i-p;j<=i-nt[p]-;j++) add(b[j],-);
p=nt[p];
}
if(gsum(b[i]-)==rk[p+]&&gsum(b[i])==sm[p+]) p++;
nt[i]=p;
add(b[i],);
} memset(c,,sizeof(c));
p=;
for(int i=;i<=n;i++)
{
while(((gsum(a[i]-)!=rk[p+]||gsum(a[i])!=sm[p+])&&p)||p==k)
{
for(int j=i-p;j<=i-nt[p]-;j++) add(a[j],-);
p=nt[p];
}
if(gsum(a[i]-)==rk[p+]&&gsum(a[i])==sm[p+]) p++;
td[i]=p;
add(a[i],);
}
} int pri[Maxn];
void ffind()
{
int ans=;
for(int i=;i<=n;i++) if(td[i]==k)
{
pri[++ans]=i-k+;
}
printf("%d\n",ans);
for(int i=;i<=ans;i++) printf("%d\n",pri[i]);
} int main()
{
init();
kmp();
ffind();
return ;
}

[POJ3167]

2016-08-07 14:38:40

【POJ 3167】Cow Patterns (KMP+树状数组)的更多相关文章

  1. 【bzoj2384】[Ceoi2011]Match 特殊匹配条件的KMP+树状数组

    题目描述 给出两个长度分别为n.m的序列A.B,求出B的所有长度为n的连续子序列(子串),满足:序列中第i小的数在序列的Ai位置. 输入 第一行包含两个整数n, m (2≤n≤m≤1000000).  ...

  2. POJ 2182 Lost Cows 【树状数组+二分】

    题目链接:http://poj.org/problem?id=2182 Lost Cows Time Limit: 1000MS   Memory Limit: 65536K Total Submis ...

  3. poj 3321:Apple Tree(树状数组,提高题)

    Apple Tree Time Limit: 2000MS   Memory Limit: 65536K Total Submissions: 18623   Accepted: 5629 Descr ...

  4. POJ 2299 Ultra-QuickSort 逆序数 树状数组 归并排序 线段树

    题目链接:http://poj.org/problem?id=2299 求逆序数的经典题,求逆序数可用树状数组,归并排序,线段树求解,本文给出树状数组,归并排序,线段树的解法. 归并排序: #incl ...

  5. poj 3321 Apple Tree(一维树状数组)

    题目:http://poj.org/problem?id=3321 题意: 苹果树上n个分叉,Q是询问,C是改变状态.... 开始的处理比较难,参考了一下大神的思路,构图成邻接表 并 用DFS编号 白 ...

  6. POJ 2299 Ultra-QuickSort 离散化加树状数组求逆序对

    http://poj.org/problem?id=2299 题意:求逆序对 题解:用树状数组.每读入一个数x,另a[x]=1.那么a数列的前缀和s[x]即为x前面(或者说,再x之前读入)小于x的个数 ...

  7. luoguP4696 [CEOI2011]Matching KMP+树状数组

    可以非常轻易的将题意转化为有多少子串满足排名相同 注意到$KMP$算法只会在当前字符串的某尾添加和删除字符 因此,如果添加和删除后面的字符对于前面的字符没有影响时,我们可以用$KMP$来模糊匹配 对于 ...

  8. 【bzoj2274】[Usaco2011 Feb]Generic Cow Protests dp+树状数组

    题目描述 Farmer John's N (1 <= N <= 100,000) cows are lined up in a row andnumbered 1..N. The cows ...

  9. POJ 3378 Crazy Thairs(树状数组+DP)

    [题目链接] http://poj.org/problem?id=3378 [题目大意] 给出一个序列,求序列中长度等于5的LIS数量. [题解] 我们发现对于每个数长度为k的LIS有dp[k][i] ...

随机推荐

  1. <input> 标签

    HTML5 中的新属性.   属性 值 描述 accept mime_type 规定通过文件上传来提交的文件的类型. align left right top middle bottom 不赞成使用. ...

  2. Git之路--2

  3. C# ado.net 使用 row_number over() 简单的分页示例

    /// <summary> /// 获取Paging列表 /// </summary> public List<HousesAgentEntity> GetPage ...

  4. HOOK函数(二)——全局HOOK

    如果钩子函数定义于当前进程相关的线程中,则钩子函数只能处理当前进程的线程的消息,如果要想处理当前正在运行的所有进程的鼠标消息和键盘消息,那么安装钩子函数的代码必须实现在动态链接库中.所以如果想让安装的 ...

  5. QT5新手上路(1)安装

    这几天学了一下windows下的QT,也不算什么心得吧,就是谈一下我的做法.希望看到这篇随笔的菜鸟们略有所得,少走弯路. 闲话少说,先说安装.首先是选版本,我用的是qt-opensource-wind ...

  6. 原型模式(Prototype Pattern)

    原型模型:用于创建重复对象,同时保证性能. 这种模式实现一个原型接口,用于创建对象的克隆,当直接创建对象的代价比较大,则可以采用这种模式.例如:一个对象需要高代价的数据库操作之后被创建,这时可以缓存该 ...

  7. apache基本安装配置

    1.安装apache 1.安装 wget http://mirrors.cnnic.cn/apache//httpd/httpd-2.2.31.tar.gz 2.安装zlib yum install ...

  8. 对C#泛型中的new()约束思考

    对于new()约束,大家可能有一个误解,以为使用了new约束之后,在创建对象时与非泛型的版本是一致的:<public class Tester<T> where T:new() {  ...

  9. 列表页url参数格式分析【求指教】

    运营对列表页url制定静态化模式,与区区观点相悖.遂请大家指教点解. 动态参数包含6个,分别是: 1认证(有机),2品类(水果),3地区(丰台),4状态(众筹中),5排序(评分),6分页 使用状态非常 ...

  10. 【转】iOS设计模式之观察者模式

    参考:http://blog.csdn.net/xdrt81y/article/details/24039163 或者 http://blog.jobbole.com/55505/