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