LeetCode216. Combination Sum III

AIDD-人工智能药物设计-构建基于机器学习方法的在线预测平台高准确预测药物诱导骨毒性 在此基础上,提取多种药物分子特征,包括分子指纹(如MACCS、Morgan、RDKit、TopologicalTorsion、AtomPairs与Descriptors)及分子图谱,通过Transformer编码器与神经网络进行机器学习模型训练。最后,将训练好的模型部署为在线Web服务器(BoneToxPD),供用户快速预测药物的骨毒性。本研究不仅在骨毒性预测的准确性方面取得了突破,还在模型解释性方面提供了新的视角,通过注意力机制精准识别出影响骨毒性的关键化学基团,推动药物研发领域更安全、更高效的发展。 阅读详情
题目链接:

https://leetcode.com/problems/combination-sum-iii/

题目描述:

寻找所有满足k个数之和等于n的组合,只允许使用数字1-9,并且每一种组合中的数字应该是唯一的。

确保组合中的数字以递增顺序排列。

思路:

回溯。水题。

代码:
class Solution {
public:
    vector<vector<int>> res;
    vector<int> cmb;
    void combinationSum3(int idx,int cnt,int sum,int k,int n){
        if((cnt>=k && sum!=n) || sum>n){
            return;
        }
        else if(cnt==k && sum==n){
            res.push_back(cmb);
            return;
        }
        for(int i=idx;i<10;i++){
            cmb.push_back(i);
            combinationSum3(i+1,cnt+1,sum+i,k,n);
            cmb.pop_back();
        }
    }
    vector<vector<int>> combinationSum3(int k, int n) {
        combinationSum3(1,0,0,k,n);
        return res;
    }
};
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