leetcode - 1239. Maximum Length of a Concatenated String with Unique Characters

Description

You are given an array of strings arr. A string s is formed by the concatenation of a subsequence of arr that has unique characters.

Return the maximum possible length of s.

A subsequence is an array that can be derived from another array by deleting some or no elements without changing the order of the remaining elements.

Example 1:

复制代码
Input: arr = ["un","iq","ue"]
Output: 4
Explanation: All the valid concatenations are:
- ""
- "un"
- "iq"
- "ue"
- "uniq" ("un" + "iq")
- "ique" ("iq" + "ue")
Maximum length is 4.

Example 2:

复制代码
Input: arr = ["cha","r","act","ers"]
Output: 6
Explanation: Possible longest valid concatenations are "chaers" ("cha" + "ers") and "acters" ("act" + "ers").

Example 3:

复制代码
Input: arr = ["abcdefghijklmnopqrstuvwxyz"]
Output: 26
Explanation: The only string in arr has all 26 characters.

Constraints:

复制代码
1 <= arr.length <= 16
1 <= arr[i].length <= 26
arr[i] contains only lowercase English letters.

Solution

Recursive

Recursive, for each string, use it or don't use it. We could only use it when the characters don't appear before.

Time complexity: o ( 2 n ) o(2^n) o(2n)

Space complexity: o ( n ) o(n) o(n)

DP

Use set in dp, every time check if current string could be added to the set.

Code

Recursive

python3 复制代码
class Solution:
    def maxLength(self, arr: List[str]) -> int:
        visited_char = {}
        def helper(index: int) -> int:
            if index >= len(arr):
                return 0
            res = 0
            could_use = True
            for each_c in arr[index]:
                if visited_char.get(each_c, 0) > 0:
                    could_use = False
                visited_char[each_c] = visited_char.get(each_c, 0) + 1
            if could_use:
                res = max(res, len(arr[index]) + helper(index + 1))
            # remove from visited_set, don't use
            for each_c in arr[index]:
                visited_char[each_c] -= 1
            res = max(res, helper(index + 1))
            return res
        return helper(0)

DP

python3 复制代码
class Solution:
    def maxLength(self, arr: List[str]) -> int:
        dp = [set()]
        for each_string in arr:
            string_set = set(each_string)
            if len(string_set) < len(each_string):
                continue
            prev_dp = dp[:]
            for prev_set in prev_dp:
                if string_set & prev_set:
                    continue
                else:
                    dp.append(string_set | prev_set)
        return max(len(each_set) for each_set in dp)
相关推荐
祁同伟.10 分钟前
【OJ】二叉树的经典OJ题
数据结构·c++·算法·容器·stl
自在极意功。23 分钟前
贪心算法深度解析:从理论到实战的完整指南
java·算法·ios·贪心算法
wydaicls1 小时前
C语言对单链表的操作
c语言·数据结构·算法
傻童:CPU1 小时前
C语言需要掌握的基础知识点之排序
c语言·算法·排序算法
大数据张老师6 小时前
数据结构——邻接矩阵
数据结构·算法
低音钢琴6 小时前
【人工智能系列:机器学习学习和进阶01】机器学习初学者指南:理解核心算法与应用
人工智能·算法·机器学习
傻童:CPU8 小时前
C语言需要掌握的基础知识点之前缀和
java·c语言·算法
又见野草9 小时前
软件设计师知识点总结:数据结构与算法(超级详细)
数据结构·算法·排序算法
GalaxyPokemon9 小时前
有一个服务器,用于提供HTTP服务,但是需要限制每个用户在任意的100秒内只能请求60次,怎么实现这个功能
算法
fl1768319 小时前
基于opencv+Mediapipe+CNN实现用手势识别控制对鼠标操控python源码+项目说明+设计文档
算法