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hello-algo/codes/dart/chapter_backtracking/subset_sum_i.dart

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/**
* File: subset_sum_i.dart
* Created Time: 2023-08-10
* Author: liuyuxin (gvenusleo@gmail.com)
*/
/* 回溯算法:子集和 I */
void backtrack(
List<int> state,
int target,
List<int> choices,
int start,
List<List<int>> res,
) {
// 子集和等于 target 时,记录解
if (target == 0) {
res.add(List.from(state));
return;
}
// 遍历所有选择
// 剪枝二:从 start 开始遍历,避免生成重复子集
for (int i = start; i < choices.length; i++) {
// 剪枝一:若子集和超过 target ,则直接结束循环
// 这是因为数组已排序,后边元素更大,子集和一定超过 target
if (target - choices[i] < 0) {
break;
}
// 尝试:做出选择,更新 target, start
state.add(choices[i]);
// 进行下一轮选择
backtrack(state, target - choices[i], choices, i, res);
// 回退:撤销选择,恢复到之前的状态
state.removeLast();
}
}
/* 求解子集和 I */
List<List<int>> subsetSumI(List<int> nums, int target) {
List<int> state = []; // 状态(子集)
nums.sort(); // 对 nums 进行排序
int start = 0; // 遍历起始点
List<List<int>> res = []; // 结果列表(子集列表)
backtrack(state, target, nums, start, res);
return res;
}
/* Driver Code */
void main() {
List<int> nums = [3, 4, 5];
int target = 9;
List<List<int>> res = subsetSumI(nums, target);
print("输入数组 nums = $nums, target = $target");
print("所有和等于 $target 的子集 res = $res");
}