The Subset Sum Problem is a classic algorithmic problem where the goal is to determine if there exists a subset of a given set of numbers whose sum is equal to a specified number. Backtracking is an effective approach to solve this problem by exploring all possible subsets and backtracking when a partial solution fails.
Step 1: Start with an empty subset and a sum of zero. Step 2: For each number, decide to include it in the subset or not. Step 3: If the sum of the current subset equals the target sum, a solution is found. Step 4: If the sum exceeds the target or all numbers are considered, backtrack. Step 5: Repeat until all subsets are explored.
import java.util.ArrayList;
import java.util.List;
public class SubsetSum {
static void findSubsets(int[] nums, int target) {
List current = new ArrayList<>();
backtrack(nums, target, 0, current);
}
static void backtrack(int[] nums, int target, int start, List current) {
if (target == 0) {
System.out.println(current);
return;
}
if (target < 0) return;
for (int i = start; i < nums.length; i++) {
current.add(nums[i]);
backtrack(nums, target - nums[i], i + 1, current);
current.remove(current.size() - 1);
}
}
public static void main(String[] args) {
int[] nums = {3, 34, 4, 12, 5, 2};
int target = 9;
findSubsets(nums, target);
}
}
The Java code defines a method `findSubsets` which initializes the backtracking process. The `backtrack` method recursively explores each subset by adding numbers to the current subset and checking if the target sum is reached. When a valid subset is found, it is printed. If the target becomes negative or all numbers are considered, the function backtracks by removing the last added number.
Console Output:
[4, 5]
[3, 4, 2]
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