题解 | #完全背包#
完全背包
http://www.nowcoder.com/practice/3ed13831e2cc4613866edee237d5a804
import java.util.*;
public class Solution {
/**
* 代码中的类名、方法名、参数名已经指定,请勿修改,直接返回方法规定的值即可
*
*
* @param v int整型
* @param n int整型
* @param nums int整型ArrayList<ArrayList<>>
* @return int整型ArrayList
*/
public ArrayList<Integer> knapsack(int v, int n, ArrayList<ArrayList<Integer>> nums) {
// write code here
int[] V = new int[n + 1];
int[] W = new int[n + 1];
for (int goods = 1; goods <= n; goods++) {
V[goods] = nums.get(goods - 1).get(0);
W[goods] = nums.get(goods - 1).get(1);
}
int[] dp1 = new int[v + 1];
int[] dp2 = new int[v + 1];
Arrays.fill(dp2, Integer.MIN_VALUE);
dp2[0] = 0;
for (int goods = 1; goods <= n; goods++) {
for (int capacity = V[goods]; capacity <= v; capacity++) {
dp1[capacity] = Math.max(dp1[capacity], dp1[capacity - V[goods]] + W[goods]);
dp2[capacity] = Math.max(dp2[capacity], dp2[capacity - V[goods]] + W[goods]);
if (dp2[capacity] < 0) {
dp2[capacity] = Integer.MIN_VALUE;
}
}
}
ArrayList<Integer> res = new ArrayList<>();
res.add(dp1[v]);
res.add(dp2[v] == Integer.MIN_VALUE ? 0 : dp2[v]);
return res;
}
}