原題連接在這裏:https://leetcode.com/problems/cherry-pickup/this
題目:spa
In a N x N grid
representing a field of cherries, each cell is one of three possible integers.code
Your task is to collect maximum number of cherries possible by following the rules below:blog
Example 1:three
Input: grid = [[0, 1, -1], [1, 0, -1], [1, 1, 1]] Output: 5 Explanation: The player started at (0, 0) and went down, down, right right to reach (2, 2). 4 cherries were picked up during this single trip, and the matrix becomes [[0,1,-1],[0,0,-1],[0,0,0]]. Then, the player went left, up, up, left to return home, picking up one more cherry. The total number of cherries picked up is 5, and this is the maximum possible.
Note:ip
grid
is an N
by N
2D array, with 1 <= N <= 50
.grid[i][j]
is an integer in the set {-1, 0, 1}
.題解:leetcode
It could be understanding as two people collecting cheeries from (n-1, n-1) to (0, 0).get
Two people cooridinates are (x1, y1), (x2, y2).it
dfs(x1, y1, x2, y2) returns maximum cheeries collected from two cooridinates to (0, 0).io
Thus max(x1, y1, x2, y2) = grid[x1][y1] + grid[x2][y2] + max(dfs(x1-1, y1, x2-1, y2), dfs(x1, y1-1, x2, y2-1), dfs(x1-1, y1, x2, y2-1), dfs(x1, y1-1, x2-1, y2)).
First person could move from top, or left. Second person could do the same. Totally 4 combinations.
And of cource, if x1==y1, which means both people are on the same grid, its cheery can't be collected twice.
y2 = x1+y1-x2. since both of them have same total steps.
Time Complexity: O(n^3).
Space: O(n^3).
AC Java:
1 class Solution { 2 int [][][] dp; 3 int n; 4 public int cherryPickup(int[][] grid) { 5 if(grid == null || grid.length == 0 || grid[0].length == 0){ 6 return 0; 7 } 8 9 n = grid.length; 10 dp = new int[n][n][n]; 11 for(int i = 0; i<n; i++){ 12 for(int j = 0; j<n; j++){ 13 Arrays.fill(dp[i][j], Integer.MIN_VALUE); 14 } 15 } 16 17 return Math.max(0, dfs(grid, n-1, n-1, n-1)); 18 } 19 20 private int dfs(int [][] grid, int x1, int y1, int x2){ 21 int y2 = x1+y1-x2; 22 if(x1<0 || y1<0 || x2<0 || y2<0){ 23 return -1; 24 } 25 26 if(grid[x1][y1]<0 || grid[x2][y2]<0){ 27 return -1; 28 } 29 30 if(dp[x1][y1][x2] != Integer.MIN_VALUE){ 31 return dp[x1][y1][x2]; 32 } 33 34 if(x1==0 && y1==0){ 35 dp[0][0][0] = grid[0][0]; 36 return grid[0][0]; 37 } 38 39 int res = Math.max(Math.max(dfs(grid, x1-1, y1, x2-1), dfs(grid, x1, y1-1, x2)), Math.max(dfs(grid, x1-1, y1, x2), dfs(grid, x1, y1-1, x2-1))); 40 if(res < 0){ 41 dp[x1][y1][x2] = -1; 42 return -1; 43 } 44 45 res += grid[x1][y1]; 46 if(x1 != x2){ 47 res += grid[x2][y2]; 48 } 49 50 dp[x1][y1][x2] = res; 51 return res; 52 } 53 }