hdu 1024 Max Sum Plus Plus
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http://acm.hdu.edu.cn/showproblem.php?pid=1024
Max Sum Plus Plus
Problem Description
Now I think you have got an AC in Ignatius.L's "Max Sum" problem. To be a brave ACMer, we always challenge ourselves to more difficult problems. Now you are faced with a more difficult problem.
Given a consecutive number sequence S1, S2, S3, S4 ... Sx, ... Sn (1 ≤ x ≤ n ≤ 1,000,000, -32768 ≤ Sx ≤ 32767). We define a function sum(i, j) = Si + ... + Sj (1 ≤ i ≤ j ≤ n).
Now given an integer m (m > 0), your task is to find m pairs of i and j which make sum(i1, j1) + sum(i2, j2) + sum(i3, j3) + ... + sum(im, jm) maximal (ix ≤ iy ≤ jx or ix ≤ jy ≤ jx is not allowed).
But I`m lazy, I don't want to write a special-judge module, so you don't have to output m pairs of i and j, just output the maximal summation of sum(ix, jx)(1 ≤ x ≤ m) instead. ^_^
Given a consecutive number sequence S1, S2, S3, S4 ... Sx, ... Sn (1 ≤ x ≤ n ≤ 1,000,000, -32768 ≤ Sx ≤ 32767). We define a function sum(i, j) = Si + ... + Sj (1 ≤ i ≤ j ≤ n).
Now given an integer m (m > 0), your task is to find m pairs of i and j which make sum(i1, j1) + sum(i2, j2) + sum(i3, j3) + ... + sum(im, jm) maximal (ix ≤ iy ≤ jx or ix ≤ jy ≤ jx is not allowed).
But I`m lazy, I don't want to write a special-judge module, so you don't have to output m pairs of i and j, just output the maximal summation of sum(ix, jx)(1 ≤ x ≤ m) instead. ^_^
Input
Each test case will begin with two integers m and n, followed by n integers S1, S2, S3 ... Sn.
Process to the end of file.
Process to the end of file.
Output
Output the maximal summation described above in one line.
Sample Input
1 3 1 2 32 6 -1 4 -2 3 -2 3
Sample Output
68
本题的大致意思为给定一个数组,求其分成m个不相交子段和最大值的问题。
设Num为给定数组,n为数组中的元素总数,Status[i][j]表示前i个数在选取第i个数的前提下分成j段的最大值,第j个数有两种情况:①和前边的数在一个字段内,Status[i-1][j]+Num[i],②自己成立一段,找到前边最大的一段,从之后开始,Max(Status[0][j-1]--Status[i-1][j-1])+Num[i],其中1<=j<=i<=n && j<=m,状态转移方程为:
Status[i][j]=Max(Status[i-1][j]+Num[i],Max(Status[0][j-1]--Status[i-1][j-1])+Num[i])
乍看一下这个方程挺吓人的,因为题中n的限定范围为1--1,000,000而m得限定范围没有给出,m只要稍微大一点就会爆内存。但仔细分析后就会发现Status[i][j]的求解只和Status[*][j]与Status[*][j-1]有关所以本题只需要两个一维数组即可搞定状态转移。
在进行更进一步的分析还会发现其实Max(Status[0][j-1]~Status[i-1][j-1])根本不需要单独求取。在求取now_Status(保存本次状态的数组)的过程中即可对pre_Status(保存前一次状态的数组)进行同步更新。
状态dp[i][j]
有前j个数,组成i组的和的最大值。
决策: 第j个数,是在第包含在第i组里面,还是自己独立成组。
方程 dp[i][j]=Max(dp[i][j-1]+a[j] , max( dp[i-1][k] ) + a[j] ) 0<k<j
空间复杂度,m未知,n<=1000000, 继续滚动数组。
时间复杂度 n^3. n<=1000000. 显然会超时,继续优化。
max( dp[i-1][k] ) 就是上一组 0....j-1 的最大值。我们可以在每次计算dp[i][j]的时候记录下前j个
的最大值 用数组保存下来 下次计算的时候可以用,这样时间复杂度为 n^2.
#include <cstring>#include <cstdio>#include <algorithm>#include <cmath>#include <cstdlib>#include <limits>#include <queue>#include <stack>#include <vector>#include <map>using namespace std;#define N 1400000#define INF 0x3f3f3f3f#define PI acos (-1.0)#define EPS 1e-8#define met(a, b) memset (a, b, sizeof (a))typedef long long LL;int a[N], dp[N], maxn[N], maxnn;int main (){ int m, n; while (scanf ("%d %d", &m, &n) != EOF) { met (dp, 0); met (maxn, 0); for (int i=1; i<=n; i++) scanf ("%d", &a[i]); for (int i=1; i<=m; i++) { maxnn = -INF; for (int j=i; j<=n; j++) { dp[j] = max (dp[j-1], maxn[j-1]) + a[j]; maxn[j-1] = maxnn; maxnn = max (maxnn, dp[j]); } } printf ("%d\n", maxnn); } return 0;}
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