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  • 0x1 题目详情
  • 0x2 解题思路
  • 0x3 代码实现
  • 0x4 课后总结

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  1. recursive

90-Subsets-II

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Last updated 4 years ago

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0x1 题目详情

给定一个可能包含重复元素的整数数组 nums,返回该数组所有可能的子集(幂集)。 说明:解集不能包含重复的子集。

测试用例:

示例: 输入: [1,2,2] 输出: [ [2], [1], [1,2,2], [2,2], [1,2], [] ]

0x2 解题思路

看到这道题我的第一思路就行从左到右单向的递归模型,但是这里要去重,这个模型就不是很好用了。

看到题解中有一种思路是采用路径树的思路。这里所谓的路径树是我自己取的,具体思路就是在每层递归时数组中的每个元素都可以被选择。然而这里的限制的是每个元素只能使用0次或多次。看到这种思路我就在想,这样做岂不是每个元素都会被选择了?仔细一瞧发现我是对这种递归模型没有理解透彻。

for(int i=index;i<nums.length;i++){
        if(i>index && nums[i]==nums[i-1]){
            continue;
        }
        //begin
        curResult.add(nums[i]);
        recur(nums,i+1,curResult,result);
        //end
        curResult.remove(curResult.size()-1);
    }

注意begin和end下方的两条语句。处理每个元素时,首先会计算加入当前元素后的结果,然后当回到本层递归时,end语句会将原来在本层添加的元素删除掉,然后处理下一个元素。那这样不就表示不要当前元素的那种情况了嘛。顺序就是先计算包含当前元素的结果,然后计算不包含当前元素的结果。这和我总结的单向递归模型好用一点啊,单向的似乎只适合简单一点的。

0x3 代码实现

注意代码中加入结果的条件。每次递归时首先会将当前结果加入结果集。空集不会重复加入,因为每向下递归一层时,传进去的当前结果都不可能为空,因为进入递归前都会有一个加入动作。每一轮循环都是以当前位置元素开头的结果集。比如当前当前索引为1,即表示此轮循环完成了寻找以1开头的结果。

class Solution {
    public List<List<Integer>> subsetsWithDup(int[] nums) {
        List<List<Integer>> result=new ArrayList<>();
        //对于路径树还是没有理解透彻
        if(nums== null || nums.length==0){
            return result;
        }
        Arrays.sort(nums);
        recur(nums,0,new ArrayList<Integer>(),result);
        return result;

    }
    private void recur(int[] nums,int index,List<Integer> curResult,List<List<Integer>> result){
        //什么时候加入
        result.add(new ArrayList<Integer>(curResult));

        for(int i=index;i<nums.length;i++){
            if(i>index && nums[i]==nums[i-1]){
                continue;
            }
            curResult.add(nums[i]);
            recur(nums,i+1,curResult,result);
            curResult.remove(curResult.size()-1);
        }

    }
}

0x4 课后总结

说实话,对于子集啊,组合问题啊,这些问题用递归树不要太容易奥,剪枝问题也容易想。

当然这道题最重要的点就是去重,采用的方法也是在同一级的循环中,如果当前元素和前一个元素相同,那么则直接跳过。这种方法在组合系列的问题中也出现过。

原题链接
组合问题 II