LeetCode 39. Combinational Sum

本文详细解析了如何使用回溯算法解决组合求和问题,即从候选数中找到所有可能的组合,使得这些数的和等于目标数。文章提供了Python和C++的实现代码,并解释了算法的工作原理。

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Given a set of candidate numbers (candidates) (without duplicates) and a target number (target), find all unique combinations in candidates where the candidatenumbers sums to target.

The same repeated number may be chosen from candidates unlimited number of times.

Note:

  • All numbers (including target) will be positive integers.
  • The solution set must not contain duplicate combinations.

Example1 :

Input: candidates = [2,3,6,7], target = 7,
A solution set is:
[
  [7],
  [2,2,3]
]

Example2 :

Input: candidates = [2,3,6,7], target = 7,
A solution set is:
[
  [7],
  [2,2,3]
]

Hint:

We can use the backtracking algorithm.

It’s similiar to the DFS algorithm, but with some difference In the DFS, we go through every bench to traverse all the elements in the tree. But the backtracking algorithm can go back to the root as soon as we find it impossible.

Solution:

Python:
class Solution:
    def combinationSum(self, candidates, target):
        """
        :type candidates: List[int]
        :type target: int
        :rtype: List[List[int]]
        """
        res = []
        candidates.sort()
        self.dfs(candidates, target, res, [])
        return res
    
    def dfs(self, candidate, target, res, temp):
        if target < 0:
            return
        elif target == 0:
            res.append(temp)
            return
        else:
            for cand in candidate:
                if cand > target:
                    return
                if not temp or cand >= temp[-1]:
                    self.dfs(candidate, target - cand, res, temp+[cand])
        return
C++:
class Solution
{
  public:
    vector<vector<int>> combinationSum(vector<int> &candidates, int target)
    {

        sort(candidates.begin(), candidates.end());
        vector<vector<int>> res = dfs(candidates, target);
        return res;
    }

  private:
    vector<vector<int>> dfs(vector<int> candidate, int target)
    {
        vector<vector<int>> res;
        vector<int> temp;
        dfs_rec(candidate, target, res, temp);
        return res;
    }

    void dfs_rec(vector<int> candidate, int target, vector<vector<int>>& res, vector<int> temp)
    {
        if (target < 0)
            return;
        else if (target == 0)
        {
            res.push_back(temp);
            return;
        }
        else
        {
            for (int i = 0; i < candidate.size(); i++)
            {
                if (candidate[i] > target)
                    return;
                if (temp.size() == 0 || candidate[i] >= temp[temp.size() - 1])
                {
                    vector<int> temp2 = temp;
                    temp2.push_back(candidate[i]);
                    dfs_rec(candidate, target - candidate[i], res, temp2);
                }
            }
        }
        return;
    }
};
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