hello-algo/en/codes/javascript/chapter_backtracking/subset_sum_i.js

47 lines
1.6 KiB
JavaScript

/**
* File: subset_sum_i.js
* Created Time: 2023-07-30
* Author: yuan0221 (yl1452491917@gmail.com)
*/
/* Backtracking algorithm: Subset Sum I */
function backtrack(state, target, choices, start, res) {
// When the subset sum equals target, record the solution
if (target === 0) {
res.push([...state]);
return;
}
// Traverse all choices
// Pruning two: start traversing from start to avoid generating duplicate subsets
for (let 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.push(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.pop();
}
}
/* Solve Subset Sum I */
function subsetSumI(nums, target) {
const state = []; // State (subset)
nums.sort((a, b) => a - b); // Sort nums
const start = 0; // Start point for traversal
const res = []; // Result list (subset list)
backtrack(state, target, nums, start, res);
return res;
}
/* Driver Code */
const nums = [3, 4, 5];
const target = 9;
const res = subsetSumI(nums, target);
console.log(`输入数组 nums = ${JSON.stringify(nums)}, target = ${target}`);
console.log(`所有和等于 ${target} 的子集 res = ${JSON.stringify(res)}`);