Given a collection of integers that might contain duplicates, nums, return all possible subsets (the power set).
Note: The solution set must not contain duplicate subsets.
Example:
Input: [1,2,2] Output: [ [2], [1], [1,2,2], [2,2], [1,2], [] ]
和78. Subsets不同的是可以有重复值,关键在于如何去重:
首先把数组排序;并且,每次recursive call的时候,判断一下当前元素和上一个元素是否相同,相同则跳过
reference: https://www.cnblogs.com/yrbbest/p/4437152.html
time: O(n * 2 ^ n), space: O(2 ^ n)
class Solution { public List<List<Integer>> subsetsWithDup(int[] nums) { List<List<Integer>> res = new ArrayList<>(); if(nums == null || nums.length == 0) { return res; } Arrays.sort(nums); dfs(nums, 0, new ArrayList<>(), res); return res; } private void dfs(int[] nums, int index, List<Integer> list, List<List<Integer>> res) { res.add(new ArrayList<>(list)); for(int i = index; i < nums.length; i++) { if(i > index && nums[i] == nums[i - 1]) { continue; } list.add(nums[i]); dfs(nums, i + 1, list, res); list.remove(list.size() - 1); } } }
另一种写法:
time: O(n * 2 ^ n), space: O(2 ^ n)
class Solution { public List<List<Integer>> subsetsWithDup(int[] nums) { List<List<Integer>> res = new ArrayList<>(); Arrays.sort(nums); backtracking(nums, 0, new ArrayList<>(), res); return res; } private void backtracking(int[] nums, int idx, List<Integer> tmp, List<List<Integer>> res) { if(!res.contains(tmp)) res.add(new ArrayList<>(tmp)); for(int i = idx; i < nums.length; i++) { tmp.add(nums[i]); backtracking(nums, i+1, tmp, res); tmp.remove(tmp.size() - 1); } } }