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hello-algo/codes/rust/chapter_backtracking/subset_sum_i.rs

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/*
* File: subset_sum_i.rs
* Created Time: 2023-07-09
* Author: codingonion (coderonion@gmail.com)
*/
/* 回溯算法:子集和 I */
fn backtrack(
mut state: Vec<i32>,
target: i32,
choices: &[i32],
start: usize,
res: &mut Vec<Vec<i32>>,
) {
// 子集和等于 target 时,记录解
if target == 0 {
res.push(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 i in start..choices.len() {
// 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.push(choices[i]);
// 进行下一轮选择
backtrack(state.clone(), target - choices[i], choices, i, res);
// 回退:撤销选择,恢复到之前的状态
state.pop();
}
}
/* 求解子集和 I */
fn subset_sum_i(nums: &mut [i32], target: i32) -> Vec<Vec<i32>> {
let state = Vec::new(); // 状态(子集)
nums.sort(); // 对 nums 进行排序
let start = 0; // 遍历起始点
let mut res = Vec::new(); // 结果列表(子集列表)
backtrack(state, target, nums, start, &mut res);
res
}
/* Driver Code */
pub fn main() {
let mut nums = [3, 4, 5];
let target = 9;
let res = subset_sum_i(&mut nums, target);
println!("输入数组 nums = {:?}, target = {}", &nums, target);
println!("所有和等于 {} 的子集 res = {:?}", target, &res);
}