hello-algo/en/codes/java/chapter_backtracking/subset_sum_i.java

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/**
* File: subset_sum_i.java
* Created Time: 2023-06-21
* Author: krahets (krahets@163.com)
*/
package chapter_backtracking;
import java.util.*;
public class subset_sum_i {
/* Backtracking algorithm: Subset Sum I */
static void backtrack(List<Integer> state, int target, int[] choices, int start, List<List<Integer>> res) {
// When the subset sum equals target, record the solution
if (target == 0) {
res.add(new ArrayList<>(state));
return;
}
// Traverse all choices
// Pruning two: start traversing from start to avoid generating duplicate subsets
for (int i = start; i < choices.length; i++) {
// Pruning one: if the subset sum exceeds target, end the loop immediately
// This is because the array is sorted, and later elements are larger, so the subset sum will definitely exceed target
if (target - choices[i] < 0) {
break;
}
// Attempt: make a choice, update target, start
state.add(choices[i]);
// Proceed to the next round of selection
backtrack(state, target - choices[i], choices, i, res);
// Retract: undo the choice, restore to the previous state
state.remove(state.size() - 1);
}
}
/* Solve Subset Sum I */
static List<List<Integer>> subsetSumI(int[] nums, int target) {
List<Integer> state = new ArrayList<>(); // State (subset)
Arrays.sort(nums); // Sort nums
int start = 0; // Start point for traversal
List<List<Integer>> res = new ArrayList<>(); // Result list (subset list)
backtrack(state, target, nums, start, res);
return res;
}
public static void main(String[] args) {
int[] nums = { 3, 4, 5 };
int target = 9;
List<List<Integer>> res = subsetSumI(nums, target);
System.out.println("Input array nums = " + Arrays.toString(nums) + ", target = " + target);
System.out.println("All subsets summing to " + target + " res = " + res);
}
}