# 求背包问题的方案
算法思想:
- 记忆化存储最优解的转换过程
- 逆推得到最优解
#
# 368. 最大整除子集 (opens new window)
求最优方案
需要保存中间状态
class Solution {
public List<Integer> largestDivisibleSubset(int[] nums) {
int n = nums.length;
Arrays.sort(nums);
int[] f = new int[n];
Arrays.fill(f, 1);
int[] st = new int[n];
Arrays.fill(st, -1);
for (int i = 0; i < n; i++) {
for (int j = n - 1; j > i; j--) {
if (nums[j] % nums[i] == 0) {
if (f[j] < f[i] + 1) {
f[j] = f[i] + 1;
st[j] = i;
}
}
}
}
int max = Arrays.stream(f).max().getAsInt();
int p = -1;
for (int i = 0; i < n; i++) {
if (max == f[i]) {
p = i;
break;
}
}
List<Integer> res = new ArrayList<>();
for (int i = max - 1; p != -1 && i >= 0; i--) {
res.add(nums[p]);
p = st[p];
}
return res;
}
}
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35