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LeetCode: Subsets 解题报告
Subsets
Given a set of distinct integers, S, return all possible subsets.
Note:
- Elements in a subset must be in non-descending order.
- The solution set must not contain duplicate subsets.
For example,
If S = [1,2,3], a solution is:
[
[3],
[1],
[2],
[1,2,3],
[1,3],
[2,3],
[1,2],
[]
]
SOLUTION 1:
使用九章算法的模板:
递归解决。
1. 先对数组进行排序。
2. 在set中依次取一个数字出来即可,因为我们保持升序,所以不需要取当前Index之前的数字。
1 public class Solution { 2 public List<List<Integer>> subsets(int[] S) { 3 List<List<Integer>> ret = new ArrayList<List<Integer>>(); 4 if (S == null) { 5 return ret; 6 } 7 8 Arrays.sort(S); 9 10 dfs(S, 0, new ArrayList<Integer> (), ret);11 12 return ret;13 }14 15 public void dfs(int[] S, int index, List<Integer> path, List<List<Integer>> ret) {16 ret.add(new ArrayList<Integer>(path));17 18 for (int i = index; i < S.length; i++) {19 path.add(S[i]);20 dfs(S, i + 1, path, ret);21 path.remove(path.size() - 1);22 }23 }24 }
SOLUTION 2:
相当牛逼的bit解法。基本的想法是,用bit位来表示这一位的number要不要取,第一位有1,0即取和不取2种可能性。所以只要把0到N种可能
都用bit位表示,再把它转化为数字集合,就可以了。
Ref: http://www.fusu.us/2013/07/the-subsets-problem.html
There are many variations of this problem, I will stay on the general problem of finding all subsets of a set. For example if our set is [1, 2, 3] - we would have 8 (2 to the power of 3) subsets: {[], [1], [2], [3], [1, 2], [1, 3], [1, 2, 3], [2, 3]}. So basically our algorithm can‘t be faster than O(2^n) since we need to go through all possible combinations.
There‘s a few ways of doing this. I‘ll mention two ways here - the recursive way, that we‘ve been taught in high schools; and using a bit string.
Using a bit string involves some bit manipulation but the final code can be found easy to understand. The idea is that all the numbers from 0 to 2^n are represented by unique bit strings of n bit width that can be translated into a subset. So for example in the above mentioned array we would have 8 numbers from 0 to 7 inclusive that would have a bit representation that is translated using the bit index as the index of the array.
Nr | Bits | Combination |
0 | 000 | {} |
1 | 001 | {1} |
2 | 010 | {2} |
3 | 011 | {1, 2} |
4 | 100 | {3} |
5 | 101 | {1, 3} |
6 | 110 | {2, 3} |
7 | 111 | {1, 2, 3} |
1 public class Solution { 2 public List<List<Integer>> subsets(int[] S) { 3 List<List<Integer>> ret = new ArrayList<List<Integer>>(); 4 if (S == null || S.length == 0) { 5 return ret; 6 } 7 8 int len = S.length; 9 Arrays.sort(S);10 11 // forget to add (long).12 long numOfSet = (long)Math.pow(2, len);13 14 for (int i = 0; i < numOfSet; i++) {15 // bug 3: should use tmp - i.16 long tmp = i;17 18 ArrayList<Integer> list = new ArrayList<Integer>();19 while (tmp != 0) {20 // bug 2: use error NumberOfTrailingZeros. 21 int indexOfLast1 = Long.numberOfTrailingZeros(tmp);22 list.add(S[indexOfLast1]);23 24 // clear the bit.25 tmp ^= (1 << indexOfLast1);26 }27 28 ret.add(list);29 }30 31 return ret;32 }33 34 }
GITHUB: https://github.com/yuzhangcmu/LeetCode_algorithm/blob/master/dfs/Subsets.java
LeetCode: Subsets 解题报告