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Java-based LeetCode algorithm problem solutions, regularly updated
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78\. Subsets
Medium
Given an integer array `nums` of **unique** elements, return _all possible subsets (the power set)_.
The solution set **must not** contain duplicate subsets. Return the solution in **any order**.
**Example 1:**
**Input:** nums = [1,2,3]
**Output:** [[],[1],[2],[1,2],[3],[1,3],[2,3],[1,2,3]]
**Example 2:**
**Input:** nums = [0]
**Output:** [[],[0]]
**Constraints:**
* `1 <= nums.length <= 10`
* `-10 <= nums[i] <= 10`
* All the numbers of `nums` are **unique**.
To solve the "Subsets" problem in Java with the Solution class, follow these steps:
1. Define a method `subsets` in the `Solution` class that takes an integer array `nums` as input and returns all possible subsets of `nums`.
2. Initialize an empty list to store the result subsets.
3. Implement a backtracking algorithm to generate all possible subsets:
- Define a recursive helper function `generateSubsets` that takes the current subset, the current index in the array, and the array `nums` as parameters.
- Base case: If the current index is equal to the length of `nums`, add the current subset to the result list.
- Recursive case:
- Include the current element in the subset and recursively call `generateSubsets` with the next index.
- Exclude the current element from the subset and recursively call `generateSubsets` with the next index.
4. Call the `generateSubsets` function with an empty subset and the starting index 0.
5. Return the list containing all subsets.
Here's the implementation of the `subsets` method in Java:
```java
import java.util.ArrayList;
import java.util.List;
class Solution {
public List> subsets(int[] nums) {
List> result = new ArrayList<>();
generateSubsets(new ArrayList<>(), 0, nums, result);
return result;
}
private void generateSubsets(List subset, int index, int[] nums, List> result) {
// Base case: add the current subset to the result list
result.add(new ArrayList<>(subset));
// Recursive case
for (int i = index; i < nums.length; i++) {
// Include the current element in the subset
subset.add(nums[i]);
// Recursively generate subsets starting from the next index
generateSubsets(subset, i + 1, nums, result);
// Exclude the current element from the subset
subset.remove(subset.size() - 1);
}
}
}
```
This implementation uses backtracking to generate all possible subsets of the input array `nums`. It has a time complexity of O(2^N), where N is the number of elements in the input array.
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