[leetcode] 39. Combination Sum @ python

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。

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)
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值