dp(动态规划之最佳路径+dfs)

Posted nonames

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了dp(动态规划之最佳路径+dfs)相关的知识,希望对你有一定的参考价值。

http://acm.hdu.edu.cn/showproblem.php?pid=1078

FatMouse and Cheese

Time Limit: 2000/1000 MS (Java/Others)    Memory Limit: 65536/32768 K (Java/Others)
Total Submission(s): 17910    Accepted Submission(s): 7619


Problem Description
FatMouse has stored some cheese in a city. The city can be considered as a square grid of dimension n: each grid location is labelled (p,q) where 0 <= p < n and 0 <= q < n. At each grid location Fatmouse has hid between 0 and 100 blocks of cheese in a hole. Now he‘s going to enjoy his favorite food.

FatMouse begins by standing at location (0,0). He eats up the cheese where he stands and then runs either horizontally or vertically to another location. The problem is that there is a super Cat named Top Killer sitting near his hole, so each time he can run at most k locations to get into the hole before being caught by Top Killer. What is worse -- after eating up the cheese at one location, FatMouse gets fatter. So in order to gain enough energy for his next run, he has to run to a location which have more blocks of cheese than those that were at the current hole.

Given n, k, and the number of blocks of cheese at each grid location, compute the maximum amount of cheese FatMouse can eat before being unable to move.
 

 

Input
There are several test cases. Each test case consists of

a line containing two integers between 1 and 100: n and k
n lines, each with n numbers: the first line contains the number of blocks of cheese at locations (0,0) (0,1) ... (0,n-1); the next line contains the number of blocks of cheese at locations (1,0), (1,1), ... (1,n-1), and so on.
The input ends with a pair of -1‘s.
 

 

Output
For each test case output in a line the single integer giving the number of blocks of cheese collected.
 

 

Sample Input
3 1 1 2 5 10 11 6 12 12 7 -1 -1
 

 

Sample Output
37
 题意:从(0,0)出发每次上下左右走一步,每次可以走1-k次停下吃奶酪,求最多可以吃多少奶酪。
//#include <bits/stdc++.h>
#include <cstdio>
#include <cstring>
#include <cmath>
#include <algorithm>
#include <iostream>
#include <cstdio>
#include <string>
#include <stdio.h>
#include <queue>
#include <stack>
#include <map>
#include <set>
#include <string.h>
#include <vector>
#define ME(x , y) memset(x , y , sizeof(x))
#define SF(n) scanf("%d" , &n)
#define rep(i , n) for(int i = 0 ; i < n ; i ++)
#define INF  0x3f3f3f3f
#define mod 998244353
#define PI acos(-1)
using namespace std;
typedef long long ll ;
int a[109][109] ;
int dp[109][109];
int dir[4][2] = {{1 , 0} , {-1 , 0} , {0 , 1} , {0 , -1}};
int n , k ;

int dfs(int x , int y)
{
    if(dp[x][y])//避免重复赋值,减少时间
        return dp[x][y];
    dp[x][y] = a[x][y] ;
    for(int i = 0 ; i < 4 ; i++)
    {
        for(int j = 1 ; j <= k ; j++)
        {
            int nx = x + dir[i][0]*j ;
            int ny = y + dir[i][1]*j ;
            if(nx >= 0 && nx < n && ny >= 0 && ny < n)
            {
                if(a[nx][ny] > a[x][y])
                {
                    dp[x][y] = max(dp[x][y] , dfs(nx , ny) + a[x][y]);
                }
            }
        }

    }
    return dp[x][y] ;
}

int main()
{
    while(~scanf("%d%d" , &n , &k) && (n != -1 || k != -1))
    {
        memset(dp , 0 , sizeof(dp));
        for(int i = 0 ; i < n ; i++)
        {
            for(int j = 0 ; j < n ; j++)
            {
                scanf("%d" , &a[i][j]);
            }
        }
        cout << dfs(0 , 0) << endl ;
    }
    return 0 ;
}

 

以上是关于dp(动态规划之最佳路径+dfs)的主要内容,如果未能解决你的问题,请参考以下文章

Leetcode之动态规划(DP)专题-62. 不同路径(Unique Paths)

初探动态规划(DP)

学生的出勤记录II--动态规划和dfs记忆化解决

小白学DP(动态规划)

[补档计划] 动态规划3 - 树形DP

坐标型动态规划序曲之DFS剪枝