Given two integers n and k, return all possible combinations of k numbers out of 1 ... n.
For example,
If n = 4 and k = 2, a solution is:
[ [2,4], [3,4], [2,3], [1,2], [1,3], [1,4], ]
class Solution { vector<vector<int> > m_res; vector<int> m_array; public: void dfs(int n, int k, int start) { if(k == m_array.size()) { m_res.push_back(m_array); return; } for(int i = start; i <= n; i++) { m_array.push_back(i); dfs(n, k, i + 1); m_array.pop_back(); } } vector<vector<int> > combine(int n, int k) { dfs(n, k, 1); return m_res; } };
思路2:子集树的标准写法略加变形,更好理解的dfs其实是这样:
class Solution { vector<vector<int> > m_res; vector<int> m_array; public: void dfs(int n, int k, int dep) { if(k == m_array.size()) { m_res.push_back(m_array); return; } if(dep > n) return; for(int i = 0; i< 2 ;i++) { if(i == 0) { m_array.push_back(dep); dfs(n, k, dep+ 1); m_array.pop_back(); } else { dfs(n, k, dep+1); } } } vector<vector<int> > combine(int n, int k) { dfs(n, k, 1); return m_res; } };
思路3:对思路2中包含不包含做一下精简:
class Solution { vector<vector<int> > m_res; vector<int> m_array; public: void dfs(int n, int k, int dep) { if(k == m_array.size()) { m_res.push_back(m_array); return; } if(dep > n) return; // contain the element m_array.push_back(dep); dfs(n, k, dep+ 1); m_array.pop_back(); // don't contain the element dfs(n, k, dep+1); } vector<vector<int> > combine(int n, int k) { dfs(n, k, 1); return m_res; } };