RMQ (Range Minimum/Maximum Query)问题是指:对于长度为n的数列A,回答若干询问RMQ(A,i,j)(i,j<=n),返回数列A中下标在i,j里的最小(大)值,也就是说。RMQ问题是指求区间最值的问题。

Time Limit: 5000MS   Memory Limit: 65536KB   64bit IO Format: %I64d & %I64u

Submit Status

Description

For the daily milking, Farmer John's N cows (1 ≤ N ≤ 50,000) always line up in the same order. One day Farmer John decides to organize a game of Ultimate Frisbee with some of the cows. To keep things simple, he will take a contiguous range
of cows from the milking lineup to play the game. However, for all the cows to have fun they should not differ too much in height.

Farmer John has made a list of Q (1 ≤ Q ≤ 200,000) potential groups of cows and their heights (1 ≤ height ≤ 1,000,000). For each group, he wants your help to determine the difference in height between the shortest and the tallest
cow in the group.

Input

Line 1: Two space-separated integers, N and Q

Lines 2.. N+1: Line i+1 contains a single integer that is the height of cow i

Lines N+2.. NQ+1: Two integers A and B (1 ≤ A ≤ B ≤ N), representing the range of cows from A to B inclusive.

Output

Lines 1.. Q: Each line contains a single integer that is a response to a reply and indicates the difference in height between the tallest and shortest cow in the range.

Sample Input

6 3
1
7
3
4
2
5
1 5
4 6
2 2

Sample Output

6
3
0

1.朴素(遍历): 复杂度O(n)-O(qn)。

2.线段树 :复杂度O(n)-O(qlogn)。

3.ST(Sparse Table)算法 :O(nlogn)-O(q)

说下ST算法,由于每一个查询仅仅有O(1)。在处理大量查询的时候有优势。

<1>.预处理(动态规划DP)

对A[i]数列,F[i][j] 表示从第i个数起连续2^j 中的最大值(DP的状态),能够看到,F[i][0] 表示的是A[i](DP的初始值)。

最后。状态转移方程是

F[i][j]=max(F[i][j-1],F[i+2^(j-1)][j-1])

<2>查询

若查询区间为(a。b),区间长度为b-a+1,取k=log2(b-a+1),则Max(a。b)=max(F[a][k]。F[b-2^k+1][k])。

1.ST算法

#include<iostream>
#include<algorithm>
#include<cstdio>
#include<cstring>
#include<cmath>
#define max(a,b) (a>b?a:b)
#define min(a,b) (a<b?a:b)
using namespace std; const int MAXN = 50050; int mins[MAXN][20];
int maxs[MAXN][20]; void RMQ(int n)
{
for (int j = 1; (1 << j) <= n;j++)
for (int i = 1; i + (1 << j) - 1 <= n; i++)
{
int p = (1 << (j - 1));
mins[i][j] = min(mins[i][j - 1], mins[i + p][j - 1]);
maxs[i][j] = max(maxs[i][j - 1], maxs[i + p][j - 1]);
}
} int queryMin(int l, int r)
{
int k = log((double)(r - l + 1))/log(2.0);
return min(mins[l][k], mins[r - (1 << k) + 1][k]);
} int queryMax(int l, int r)
{
int k = log((double)(r - l + 1))/log(2.0);
return max(maxs[l][k], maxs[r - (1 << k) + 1][k]);
} int main()
{
int n, q;
scanf("%d%d", &n, &q);
int num;
for (int i = 1; i <= n; i++)
{
scanf("%d", &num);
maxs[i][0] = mins[i][0] = num;
}
RMQ(n);
int a, b;
int ans;
for (int i = 0; i < q; i++)
{
scanf("%d%d", &a, &b);
ans= queryMax(a, b) - queryMin(a, b);
printf("%d\n", ans);
}
}

2.线段树

#include<iostream>
#include<cstdio>
#include<cstring>
#include<string>
#include<algorithm>
#define max(a,b) (a>b?a:b)
#define min(a,b) (a<b?a:b) using namespace std; const int MAXN = 50050; int num[MAXN]; struct node
{
int r;
int l;
int Max;
int Min;
}tree[3*MAXN]; void build(int l, int r, int i)
{
tree[i].l = l; tree[i].r = r;
if (l == r)
{
tree[i].Max = tree[i].Min = num[l];
return;
}
int m = (l + r) >> 1, ls = i << 1, rs = ls + 1;
build(l, m, ls);
build(m + 1, r, rs);
tree[i].Max = max(tree[rs].Max, tree[ls].Max);
tree[i].Min = min(tree[rs].Min, tree[ls].Min);
} int queryMax(int l, int r, int i)
{
if (tree[i].l == l&&tree[i].r == r)
return tree[i].Max;
int m = (tree[i].l + tree[i].r) >> 1, ls = i << 1, rs = ls + 1;
if (r <= m) return queryMax(l, r, ls);
else if (l > m) return queryMax(l, r, rs);
else return max(queryMax(l, m, ls), queryMax(m + 1, r, rs));
} int queryMin(int l, int r, int i)
{
if (tree[i].l == l&&tree[i].r == r)
return tree[i].Min;
int m = (tree[i].l + tree[i].r) >> 1, ls = i << 1, rs = ls + 1;
if (r <= m) return queryMin(l, r, ls);
else if (l > m) return queryMin(l, r, rs);
else return min(queryMin(l, m, ls), queryMin(m + 1, r, rs));
} int main()
{
int n, q;
scanf("%d%d", &n, &q);
for (int i = 1; i <= n; i++)
scanf("%d", &num[i]);
build(1, n, 1);
int a, b;
int ans;
for (int i = 0; i < q; i++)
{
scanf("%d%d", &a, &b);
ans = queryMax(a, b, 1) - queryMin(a, b, 1);
printf("%d\n", ans);
}
}

參考了http://blog.csdn.net/niushuai666/article/details/6624672/

POJ - 3264 Balanced Lineup (RMQ问题求区间最值)的更多相关文章

  1. Poj 3264 Balanced Lineup RMQ模板

    题目链接: Poj 3264 Balanced Lineup 题目描述: 给出一个n个数的序列,有q个查询,每次查询区间[l, r]内的最大值与最小值的绝对值. 解题思路: 很模板的RMQ模板题,在这 ...

  2. poj 3264 Balanced Lineup (RMQ)

    /******************************************************* 题目: Balanced Lineup(poj 3264) 链接: http://po ...

  3. poj 3264 Balanced Lineup【RMQ-ST查询区间最大最小值之差 +模板应用】

    题目地址:http://poj.org/problem?id=3264 Sample Input 6 3 1 7 3 4 2 5 1 5 4 6 2 2 Sample Output 6 3 0分析:标 ...

  4. POJ 3264 Balanced Lineup 【线段树/区间最值差】

    Balanced Lineup Time Limit: 5000MS Memory Limit: 65536K Total Submissions: 62103 Accepted: 29005 Cas ...

  5. POJ 3264 Balanced Lineup RMQ ST算法

    题意:有n头牛,编号从1到n,每头牛的身高已知.现有q次询问,每次询问给出a,b两个数.要求给出编号在a与b之间牛身高的最大值与最小值之差. 思路:标准的RMQ问题. RMQ问题是求给定区间内的最值问 ...

  6. poj 3264 Balanced Lineup (RMQ算法 模板题)

    RMQ支持操作: Query(L, R):  计算Min{a[L],a[L+1], a[R]}. 预处理时间是O(nlogn), 查询只需 O(1). RMQ问题 用于求给定区间内的最大值/最小值问题 ...

  7. POJ 3264 Balanced Lineup -- RMQ或线段树

    一段区间的最值问题,用线段树或RMQ皆可.两种代码都贴上:又是空间换时间.. RMQ 解法:(8168KB 1625ms) #include <iostream> #include < ...

  8. POJ 3264 Balanced Lineup 【ST表 静态RMQ】

    传送门:http://poj.org/problem?id=3264 Balanced Lineup Time Limit: 5000MS   Memory Limit: 65536K Total S ...

  9. POJ 3264 Balanced Lineup【线段树区间查询求最大值和最小值】

    Balanced Lineup Time Limit: 5000MS   Memory Limit: 65536K Total Submissions: 53703   Accepted: 25237 ...

随机推荐

  1. C++中经常使用到宏

    _DOS_       表示MS-DOS 16位系统平台 WIN32       表示Windows32位系统平台 WIN64       表示Windows64位系统平台 _WIN32_WCE  表 ...

  2. matlab strel

    >>se3 = strel('square',3)Neighborhood: 1 1 1 1 1 1 1 1 1 >> se3 = strel('line',3 , 45)Ne ...

  3. SQL CREATE INDEX

    n relational database, Index will be the important mechanism for boosting performance. Index is impo ...

  4. 【精】iOS6 及其以上版本号自己主动旋转、手动强制旋转方案及布局适配

    1.布局适配方式 本文不讨论哪种布局适配方式最好.此处使用的是 Masonry 纯代码布局适配. (Masonry 底层就是 AutoLayout 的 NSLayoutConstraint) 2.iO ...

  5. ios 推送app badge 数字累加操作

    ios 推送app badge 数字累加操作: 一:此数字需要后台配合: 二:大致原理: 后台发推送时,第一次 传badge 为1,往后,依次累加操作即可: 当用户打开app时,app向后台发送请求, ...

  6. QtGui.QFileDialog

    The QtGui.QFileDialog is a dialog that allows users to select files or directories. The files can be ...

  7. Python 默认参数

    定义默认参数 定义函数的时候,还可以有默认参数. 例如Python自带的 int() 函数,其实就有两个参数,我们既可以传一个参数,又可以传两个参数: >>> int('123') ...

  8. POJ 3468 A Simple Problem with Integers 【线段树,区间更新】

    题意:你有N个整数,A1,A2,-,一个.你须要处理两种类型的操作.一种类型的操作是加入了一些给定的数字,每一个数字在一个给定的时间间隔. 还有一种是在给定的时间间隔要求数量的总和. 难点:主要是la ...

  9. php后台“爬虫”模拟登录第三方系统

    http://blog.csdn.net/liu_c_y/article/details/49956679 http://www.php100.com/html/webkaifa/PHP/PHPyin ...

  10. 获取含有class为某个值的a标签或img标签

    <a\s+[^>]*class='fjLink'[^>]*>[^<]*</a>|<img\s+[^>]*class='fjLink'[^>] ...