和subset区别:规定了子集的sum==target
注意,这里传递的起始位置是i,而不是position+1,but why???
helper(res, path, candidate, sum - candidate[i], i);
code区别:
notice:需要sort
if条件里 sum >= candidate[i]
Arrays.sort(candidate); //需要sorthelper(res, path, candidate, sum, 0); //参数多了sum//每次path加入新元素后,sum减去元素:sum - candidate[i]if ( sum == 0 ) //stop条件是sum被减为0了for ( int i = position; i < candidate.length && sum >= candidate[i]; i++ )//sum余额不足覆盖下一个i的话,就不用再走了,这就是sort的好处
图:新生大学
https://leetcode.com/problems/combination-sum/
Given a set of candidate numbers (C) (without duplicates) and a target number (T), find all unique combinations in C where the candidate numbers sums to T.
The same repeated number may be chosen from C unlimited number of times.
Note:
All numbers (including target) will be positive integers.
The solution set must not contain duplicate combinations.
For example, given candidate set [2, 3, 6, 7] and target 7,
A solution set is:
[
[7],
[2, 2, 3]
]
input: a candidate set, eg, [1, 2, 3, 6, 7]
, a target sum integer, eg, 4
output: find all possible unique combinations which can sum to be the target, and in each combination, the numbers can be repeated at unlimited times. eg, [2, 2] -> 4
We need a list of list
to store result, and a list
called path to store current single path. There is also a position
to locate the starting point for every path.
Notice the sum target
is able to decrease itself during the process.
For convenience, we will sort the candidate array
first.
The starting position
will iterate from 0 to candidate.length - 1
Since this question allows repeated numbers, for each path, we can do this repeated work
by passing the same starting point i
to next level, rather than i + 1
.
So that, for each unique number, the path will firstly add it for unlimited times until return. Then remove this number one by one, to leave space for next number. Moreover, the next number will also repeatedly add itself first until return.
And every time if current sum is larger than current number, we can add the number to current path, and pass the remaining sum = current sum - current number
to next level.
Until current sum is zero
, we will add the path to final result list.
After each path has finished its trip and returns to upper level, we should remove the last number of current path, to accept other new numbers.
public class Solution { public List<List<Integer>> combinationSum(int[] candidate, int sum){ List<List<Integer>> res = new ArrayList<List<Integer>>(); //corner //core List<Integer> path = new ArrayList<>(); Arrays.sort(candidate); helper(res, path, candidate, sum, 0); //start from position = 0 return res; } public void helper(List<List<Integer>> res, List<Integer> path, int[] candidate, int sum, int position){ //base if ( sum == 0 ){ res.add(new ArrayList<Integer>(path)); return ; } //current for ( int i = position; i < candidate.length && sum >= candidate[i]; i++ ){ path.add(candidate[i]); //next: pass down remaining 'sum', and afterwards 'start position' helper(res, path, candidate, sum - candidate[i], i); path.remove(path.size() - 1); } return ; } }