Smallest string containing all unique characters from given array of strings
Last Updated :
17 Feb, 2023
Given an array of strings arr[], the task is to find the smallest string which contains all the characters of the given array of strings.
Examples:
Input: arr[] = {"your", "you", "or", "yo"}
Output: ruyo
Explanation: The string "ruyo" is the smallest string which contains all the characters that are used across all the strings of the given array.
Input: arr[] = {"abm", "bmt", "cd", "tca"}
Output: abctdm
Approach: This problem can be solved by using the Set Data Structure. Set has the capability to remove duplicates, which is needed in this problem in order to minimize the string size. Add all the characters in the set from all the strings in the array arr[] and form a string containing all the characters remaining in the set, which is the required answer.
Below is the implementation of the above approach.
C++
// C++ code for the above approach
#include <bits/stdc++.h>
using namespace std;
string minSubstr(vector<string> s)
{
// Stores the concatenated string
// of all the given strings
string str = "";
// Loop to iterate through all
// the given strings
for (int i = 0; i < s.size(); i++)
{
str += s[i];
}
// Set to store the characters
unordered_set<char> set;
// Loop to iterate over all
// the characters in str
for (int i = 0; i < str.length(); i++)
{
set.insert(str[i]);
}
string res = "";
// Loop to iterate over the set
for (auto itr = set.begin(); itr != set.end(); itr++)
{
res = res + (*itr);
}
// Return Answer
return res;
}
// Driver Code
int main()
{
vector<string> arr = {"your", "you",
"or", "yo"};
cout << (minSubstr(arr));
return 0;
}
// This code is contributed by Potta Lokesh
Java
import java.util.*;
public class GfG {
public static String minSubstr(String s[])
{
// Stores the concatenated string
// of all the given strings
String str = "";
// Loop to iterate through all
// the given strings
for (int i = 0; i < s.length; i++) {
str += s[i];
}
// Set to store the characters
Set<Character> set
= new HashSet<Character>();
// Loop to iterate over all
// the characters in str
for (int i = 0; i < str.length(); i++) {
set.add(str.charAt(i));
}
// Stores the required answer
String res = "";
Iterator<Character> itr
= set.iterator();
// Loop to iterate over the set
while (itr.hasNext()) {
res += itr.next();
}
// Return Answer
return res;
}
// Driver Code
public static void main(String[] args)
{
String arr[]
= new String[] { "your", "you",
"or", "yo" };
System.out.println(minSubstr(arr));
}
}
Python3
# Python code for the above approach
def minSubstr(s):
# Stores the concatenated string
# of all the given strings
str = ""
# Loop to iterate through all
# the given strings
for i in range(len(s)):
str += s[i]
# Set to store the characters
_set = set()
# Loop to iterate over all
# the characters in str
for i in range(len(str)):
_set.add(str[i])
# Stores the required answer
res = ""
# Loop to iterate over the set
for itr in _set:
res += itr
# Return Answer
return res
# Driver Code
arr = ["your", "you", "or", "yo"]
print(minSubstr(arr))
# This code is contributed by gfgking
C#
// C# program for the above approach
using System;
using System.Collections.Generic;
class GFG
{
public static string minSubstr(string []s)
{
// Stores the concatenated string
// of all the given strings
string str = "";
// Loop to iterate through all
// the given strings
for (int i = 0; i < s.Length; i++) {
str += s[i];
}
// Set to store the characters
HashSet<char> set = new HashSet<char>();
// Loop to iterate over all
// the characters in str
for (int i = 0; i < str.Length; i++) {
set.Add(str[i]);
}
// Stores the required answer
String res = "";
// Loop to iterate over the set
foreach(char i in set) {
res += i;
}
// Return Answer
return res;
}
// Driver Code
public static void Main()
{
string []arr
= { "your", "you", "or", "yo" };
Console.WriteLine(minSubstr(arr));
}
}
// This code is contributed by Samim Hossain Mondal.
JavaScript
<script>
// JavaScript code for the above approach
function minSubstr(s)
{
// Stores the concatenated string
// of all the given strings
let str = "";
// Loop to iterate through all
// the given strings
for (let i = 0; i < s.length; i++) {
str += s[i];
}
// Set to store the characters
let set = new Set();
// Loop to iterate over all
// the characters in str
for (let i = 0; i < str.length; i++) {
set.add(str[i]);
}
// Stores the required answer
let res = "";
// Loop to iterate over the set
for (let itr of set) {
res += itr;
}
// Return Answer
return res;
}
// Driver Code
let arr
= ["your", "you",
"or", "yo"];
document.write(minSubstr(arr));
// This code is contributed by Potta Lokesh
</script>
Time Complexity: O(N*M), where M is the average length of strings in the given array
Auxiliary Space: O(N) because extra space for string str is being used
Approach #2: This problem can also be solved by using the Map Data Structure. Map stores all the characters present in the string with their occurrence. After iterating on the map we will get the all unique characters.
C++
// C++ code for the above approach
#include <bits/stdc++.h>
using namespace std;
string minSubstr(vector<string> s)
{
// Stores the concatenated string
// of all the given strings
string str = "";
// Loop to iterate through all
// the given strings
for (int i = 0; i < s.size(); i++) {
str += s[i];
}
// map to store the characters with frequency
unordered_map<char, int> mp;
// Loop to iterate over all
// the characters in str
for (int i = 0; i < str.length(); i++) {
mp[str[i]]++;
}
string res = "";
// Loop to iterate over the map
for (auto it : mp) {
res += it.first;
}
// Return Answer
return res;
}
// Driver Code
int main()
{
vector<string> arr = { "your", "you", "or", "yo" };
cout << (minSubstr(arr));
return 0;
}
// This code is contributed by Prasad Kandekar(prasad264)
Java
// Java code for the above approach
import java.util.*;
class GFG {
public static String minSubstr(List<String> s)
{
// Stores the concatenated string
// of all the given strings
String str = "";
// Loop to iterate through all
// the given strings
for (String x : s) {
str += x;
}
// map to store the characters with frequency
Map<Character, Integer> mp = new HashMap<>();
// Loop to iterate over all
// the characters in str
for (int i = 0; i < str.length(); i++) {
char c = str.charAt(i);
if (mp.containsKey(c)) {
mp.put(c, mp.get(c) + 1);
}
else {
mp.put(c, 1);
}
}
StringBuilder res = new StringBuilder();
// Loop to iterate over the map
for (Map.Entry<Character, Integer> entry :
mp.entrySet()) {
res.append(entry.getKey());
}
// Return Answer
return res.toString();
}
// Driver Code
public static void main(String[] args)
{
List<String> arr
= Arrays.asList("your", "you", "or", "yo");
System.out.println(minSubstr(arr));
}
}
// This code is contributed by Prasad Kandekar(prasad264)
Python3
# Python code for the above approach
def min_substr(s):
# Stores the concatenated string
# of all the given strings
str = ""
# Loop to iterate through all
# the given strings
for i in range(len(s)):
str += s[i]
# dictionary to store the characters with frequency
mp = {}
# Loop to iterate over all
# the characters in str
for i in range(len(str)):
if str[i] in mp:
mp[str[i]] += 1
else:
mp[str[i]] = 1
res = ""
# Loop to iterate over the map
for key in mp:
res += key
# Return Answer
return res
# Driver Code
arr = ["your", "you", "or", "yo"]
print(min_substr(arr))
# This code is contributed by karthik
C#
// C# code for the above approach
using System;
using System.Collections.Generic;
public class GFG {
static string MinSubstr(List<string> s)
{
// Stores the concatenated string
// of all the given strings
string str = "";
// Loop to iterate through all
// the given strings
for (int i = 0; i < s.Count; i++) {
str += s[i];
}
// dictionary to store the characters with frequency
Dictionary<char, int> mp
= new Dictionary<char, int>();
// Loop to iterate over all
// the characters in str
for (int i = 0; i < str.Length; i++) {
if (mp.ContainsKey(str[i])) {
mp[str[i]]++;
}
else {
mp[str[i]] = 1;
}
}
string res = "";
// Loop to iterate over the map
foreach(var item in mp) { res += item.Key; }
// Return Answer
return res;
}
// Driver Code
static public void Main(string[] args)
{
List<string> arr = new List<string>() {
"your", "you", "or", "yo"
};
Console.WriteLine(MinSubstr(arr));
}
}
// This code is contributed by Prasad Kandekar(prasad264)
JavaScript
// JavaScript code for the above approach
function minSubstr(s) {
// Stores the concatenated string
// of all the given strings
var str = "";
// Loop to iterate through
// all the given strings
for (var i = 0; i < s.length; i++) {
str += s[i];
}
// map to store the characters with frequency
var mp = new Map();
// Loop to iterate over all
// the characters in str
for (var i = 0; i < str.length; i++) {
if (mp.has(str[i])) {
mp.set(str[i], mp.get(str[i]) + 1);
}
else {
mp.set(str[i], 1);
}
}
var res = "";
// Loop to iterate over the map
for (var [key, value] of mp) {
res += key;
}
// Return Answer
return res;
}
// Driver Code
var arr = ["your", "you", "or", "yo"];
console.log(minSubstr(arr));
// This code is contributed by Prasad Kandekar(prasad264)
Output:
ruoy
Complexity analysis:
Time Complexity: O(N*M), where M is the average length of strings in the given array
Auxiliary Space: O(N) because extra space for string str and unordered_map are being used
Similar Reads
DSA Tutorial - Learn Data Structures and Algorithms
DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. Data structures manage how data is stored and accessed, while algorithms focus on
7 min read
Quick Sort
QuickSort is a sorting algorithm based on the Divide and Conquer that picks an element as a pivot and partitions the given array around the picked pivot by placing the pivot in its correct position in the sorted array. It works on the principle of divide and conquer, breaking down the problem into s
12 min read
Merge Sort - Data Structure and Algorithms Tutorials
Merge sort is a popular sorting algorithm known for its efficiency and stability. It follows the divide-and-conquer approach. It works by recursively dividing the input array into two halves, recursively sorting the two halves and finally merging them back together to obtain the sorted array. Merge
14 min read
Breadth First Search or BFS for a Graph
Given a undirected graph represented by an adjacency list adj, where each adj[i] represents the list of vertices connected to vertex i. Perform a Breadth First Search (BFS) traversal starting from vertex 0, visiting vertices from left to right according to the adjacency list, and return a list conta
15+ min read
Bubble Sort Algorithm
Bubble Sort is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements if they are in the wrong order. This algorithm is not suitable for large data sets as its average and worst-case time complexity are quite high.We sort the array using multiple passes. After the fir
8 min read
Insertion Sort Algorithm
Insertion sort is a simple sorting algorithm that works by iteratively inserting each element of an unsorted list into its correct position in a sorted portion of the list. It is like sorting playing cards in your hands. You split the cards into two groups: the sorted cards and the unsorted cards. T
9 min read
Binary Search Algorithm - Iterative and Recursive Implementation
Binary Search Algorithm is a searching algorithm used in a sorted array by repeatedly dividing the search interval in half. The idea of binary search is to use the information that the array is sorted and reduce the time complexity to O(log N). Binary Search AlgorithmConditions to apply Binary Searc
15 min read
Data Structures Tutorial
Data structures are the fundamental building blocks of computer programming. They define how data is organized, stored, and manipulated within a program. Understanding data structures is very important for developing efficient and effective algorithms. What is Data Structure?A data structure is a st
2 min read
Dijkstra's Algorithm to find Shortest Paths from a Source to all
Given a weighted undirected graph represented as an edge list and a source vertex src, find the shortest path distances from the source vertex to all other vertices in the graph. The graph contains V vertices, numbered from 0 to V - 1.Note: The given graph does not contain any negative edge. Example
12 min read
Selection Sort
Selection Sort is a comparison-based sorting algorithm. It sorts an array by repeatedly selecting the smallest (or largest) element from the unsorted portion and swapping it with the first unsorted element. This process continues until the entire array is sorted.First we find the smallest element an
8 min read