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
少许极端11 分钟前
算法奇妙屋(五)-链表
数据结构·算法·链表
XISHI_TIANLAN27 分钟前
【多模态学习】Q&A6: 什么是MOE架构?Router Z Loss函数是指什么?负载均衡损失(Load Balancing Loss)又是什么?
学习·算法·语言模型
木子.李34739 分钟前
数据结构-算法C++(额外问题汇总)
数据结构·c++·算法
花心蝴蝶.1 小时前
API签名认证算法全解析
算法
兮山与1 小时前
算法6.0
算法
代码对我眨眼睛1 小时前
739. 每日温度 LeetCode 热题 HOT 100
算法·leetcode
程序员莫小特2 小时前
老题新解|计算2的N次方
开发语言·数据结构·算法·青少年编程·信息学奥赛一本通
wearegogog1233 小时前
基于块匹配的MATLAB视频去抖动算法
算法·matlab·音视频
十重幻想4 小时前
PTA6-1 使用函数求最大公约数(C)
c语言·数据结构·算法
大千AI助手5 小时前
蛙跳积分法:分子动力学模拟中的高效数值积分技术
算法·积分·数值积分·蛙跳积分法·牛顿力学系统·verlet积分算法