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brute-force/subsets

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2023-12-01

Subsets

描述

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],
  []
]

递归

增量构造法

每个元素,都有两种选择,选或者不选。

// Subsets
// 增量构造法,深搜,时间复杂度O(2^n),空间复杂度O(n)
public class Solution {
    public List<List<Integer>> subsets(int[] nums) {
        Arrays.sort(nums); // 输出要求有序
        List<List<Integer>> result = new ArrayList<>();
        List<Integer> path = new ArrayList<>();
        subsets(nums, path, 0, result);
        return result;
    }

    private static void subsets(int[] nums, List<Integer> path, int step,
                                List<List<Integer>> result) {
        if (step == nums.length) {
            result.add(new ArrayList<Integer>(path));
            return;
        }
        // 不选nums[step]
        subsets(nums, path, step + 1, result);
        // 选nums[step]
        path.add(nums[step]);
        subsets(nums, path, step + 1, result);
        path.remove(path.size() - 1);
    }
}
// Subsets
// 增量构造法,深搜,时间复杂度O(2^n),空间复杂度O(n)
class Solution {
public:
    vector<vector<int> > subsets(vector<int> &S) {
        sort(S.begin(), S.end());  // 输出要求有序
        vector<vector<int> > result;
        vector<int> path;
        subsets(S, path, 0, result);
        return result;
    }

private:
    static void subsets(const vector<int> &S, vector<int> &path, int step,
            vector<vector<int> > &result) {
        if (step == S.size()) {
            result.push_back(path);
            return;
        }
        // 不选S[step]
        subsets(S, path, step + 1, result);
        // 选S[step]
        path.push_back(S[step]);
        subsets(S, path, step + 1, result);
        path.pop_back();
    }
};

位向量法

开一个位向量bool selected[n],每个元素可以选或者不选。

// Subsets
// 位向量法,深搜,时间复杂度O(2^n),空间复杂度O(n)
public class Solution {
    public List<List<Integer>> subsets(int[] nums) {
        Arrays.sort(nums);  // 输出要求有序

        List<List<Integer>> result = new ArrayList<>();
        boolean[] selected = new boolean[nums.length];
        subsets(nums, selected, 0, result);
        return result;
    }

    private static void subsets(int[] nums, boolean[] selected, int step,
                        List<List<Integer>> result) {
        if (step == nums.length) {
            ArrayList<Integer> subset = new ArrayList<>();
            for (int i = 0; i < nums.length; i++) {
                if (selected[i]) subset.add(nums[i]);
            }
            result.add(subset);
            return;
        }
        // 不选S[step]
        selected[step] = false;
        subsets(nums, selected, step + 1, result);
        // 选S[step]
        selected[step] = true;
        subsets(nums, selected, step + 1, result);
    }
}
// Subsets
// 位向量法,深搜,时间复杂度O(2^n),空间复杂度O(n)
class Solution {
public:
    vector<vector<int> > subsets(vector<int> &S) {
        sort(S.begin(), S.end());  // 输出要求有序

        vector<vector<int> > result;
        vector<bool> selected(S.size(), false);
        subsets(S, selected, 0, result);
        return result;
    }

private:
    static void subsets(const vector<int> &S, vector<bool> &selected, int step,
            vector<vector<int> > &result) {
        if (step == S.size()) {
            vector<int> subset;
            for (int i = 0; i < S.size(); i++) {
                if (selected[i]) subset.push_back(S[i]);
            }
            result.push_back(subset);
            return;
        }
        // 不选S[step]
        selected[step] = false;
        subsets(S, selected, step + 1, result);
        // 选S[step]
        selected[step] = true;
        subsets(S, selected, step + 1, result);
    }
};

迭代

增量构造法

// Subsets
// 迭代版,时间复杂度O(2^n),空间复杂度O(1)
public class Solution {
    public List<List<Integer>> subsets(int[] nums) {
        Arrays.sort(nums); // 输出要求有序
        List<List<Integer>> result = new ArrayList<>();
        result.add(new ArrayList<>()); // empty subset
        for (int elem : nums) {
            final int n = result.size();
            for (int i = 0; i < n; ++i) { // copy itself
                result.add(new ArrayList<>(result.get(i)));
            }
            for (int i = n; i < result.size(); ++i) {
                result.get(i).add(elem);
            }
        }
        return result;
    }
}
// Subsets
// 迭代版,时间复杂度O(2^n),空间复杂度O(1)
class Solution {
public:
    vector<vector<int> > subsets(vector<int> &S) {
        sort(S.begin(), S.end()); // 输出要求有序
        vector<vector<int> > result(1);
        for (auto elem : S) {
            result.reserve(result.size() * 2);
            auto half = result.begin() + result.size();
            copy(result.begin(), half, back_inserter(result));
            for_each(half, result.end(), [&elem](decltype(result[0]) &e){
                e.push_back(elem);
            });
        }
        return result;
    }
};

二进制法

本方法的前提是:集合的元素不超过 int 位数。用一个 int 整数表示位向量,第i位为 1,则表示选择S[i],为 0 则不选择。例如 S={A,B,C,D},则0110=6表示子集 {B,C}

这种方法最巧妙。因为它不仅能生成子集,还能方便的表示集合的并、交、差等集合运算。设两个集合的位向量分别为$$B_1$$和$$B_2$$,则$$B_1\cup B_2, B_1 \cap B_2, B_1 \triangle B_2$$分别对应集合的并、交、对称差。

二进制法,也可以看做是位向量法,只不过更加优化。

// Subsets
// 二进制法,时间复杂度O(2^n),空间复杂度O(1)
public class Solution {
    public List<List<Integer>> subsets(int[] nums) {
        Arrays.sort(nums); // 输出要求有序
        List<List<Integer>> result = new ArrayList<>();
        final int n = nums.length;
        ArrayList<Integer> v = new ArrayList<>();

        for (int i = 0; i < 1 << n; i++) {
            for (int j = 0; j < n; j++) {
                if ((i & 1 << j) > 0) v.add(nums[j]);
            }
            result.add(new ArrayList<>(v));
            v.clear();
        }
        return result;
    }
}
// Subsets
// 二进制法,时间复杂度O(2^n),空间复杂度O(1)
class Solution {
public:
    vector<vector<int> > subsets(vector<int> &S) {
        sort(S.begin(), S.end()); // 输出要求有序
        vector<vector<int> > result;
        const size_t n = S.size();
        vector<int> v;

        for (size_t i = 0; i < 1 << n; i++) {
            for (size_t j = 0; j < n; j++) {
                if (i & 1 << j) v.push_back(S[j]);
            }
            result.push_back(v);
            v.clear();
        }
        return result;
    }
};

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