491.递增子序列
要点:在不排序的前提下,如何去重
class Solution {
public:
vector<vector<int>> result;
vector<int> path;
void backtracking(vector<int>& nums, int startIndex) {
if (path.size() > 1) {
result.push_back(path);
}
unordered_set<int> uset;
for (int i = startIndex; i < nums.size(); i++) {
if ((!path.empty() && nums[i] < path.back()) ||
uset.find(nums[i]) != uset.end()) {
continue;
}
uset.insert(nums[i]);
path.push_back(nums[i]);
backtracking(nums, i + 1);
path.pop_back();
}
}
vector<vector<int>> findSubsequences(vector<int>& nums) {
backtracking(nums, 0);
return result;
}
};
46.全排列
要点:排列问题 与 组合、子集问题的区别。没有startIndex,全部从0开始遍历,不同顺序的排列被认为是不同的,所以需要记录元素是否被使用过,以便同样的元素组合不同的顺序
class Solution {
public:
vector<vector<int>> result;
vector<int> path;
void backtracking(vector<int>& nums, vector<bool>& used) {
if (path.size() == nums.size()) {
result.push_back(path);
return;
}
for (int i = 0; i < nums.size(); i++) {
if (used[i] == true) {
continue;
}
used[i] = true;
path.push_back(nums[i]);
backtracking(nums, used);
path.pop_back();
used[i] = false;
}
}
vector<vector<int>> permute(vector<int>& nums) {
vector<bool> used(nums.size(), false);
backtracking(nums, used);
return result;
}
};
47.全排列 II
要点:排列问题的去重
class Solution {
public:
vector<vector<int>> result;
vector<int> path;
void backtracking(vector<int>& nums, vector<bool>& used) {
if (path.size() == nums.size()) {
result.push_back(path);
return;
}
for (int i = 0; i < nums.size(); i++) {
if (i > 0 && nums[i] == nums[i - 1] && used[i - 1] == false) {
continue;
}
if (used[i] == false) {
used[i] = true;
path.push_back(nums[i]);
backtracking(nums, used);
path.pop_back();
used[i] = false;
}
}
}
vector<vector<int>> permuteUnique(vector<int>& nums) {
vector<bool> used(nums.size(), false);
sort(nums.begin(), nums.end());
backtracking(nums, used);
return result;
}
};