原题
Given a set of candidate numbers (candidates) (without duplicates) and a target number (target), find all unique combinations in candidates where the candidate numbers sums to target.
The same repeated number may be chosen from candidates unlimited number of times.
Note:
All numbers (including target) will be positive integers.
The solution set must not contain duplicate combinations.
Example 1:
Input: candidates = [2,3,6,7], target = 7,
A solution set is:
[
[7],
[2,2,3]
]
Example 2:
Input: candidates = [2,3,5], target = 8,
A solution set is:
[
[2,2,2,2],
[2,3,3],
[3,5]
]
解法
DFS + backtracking(回溯法), 回溯的条件是当target为负时, 返回; 当target为0时, 说明我们找到了匹配的组合, 因此将path加到res并返回; DFS的主体是遍历candidates, 递归找出所有可能的组合.
代码
class Solution:
def combinationSum(self, candidates, target):
"""
:type candidates: List[int]
:type target: int
:rtype: List[List[int]]
"""
candidates.sort()
res = []
self.dfs(candidates, target, 0, [], res)
return res
def dfs(self, nums, target, index, path, res):
# backtracking condition
if target < 0:
return
if target == 0:
# we find a match
res.append(path)
return
for i in range(index, len(nums)):
self.dfs(nums, target-nums[i], i, path + [nums[i]], res)
目标组合求解
本文介绍了一种使用深度优先搜索(DFS)和回溯法解决给定候选数集合和目标数,寻找所有可能组合的问题。通过遍历候选数,递归地寻找所有可能的组合,直到找到目标数的组合。

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