You are a text editor working on a new feature that helps users create palindromes from their input text. A palindrome is a string that reads the same forward and backward. For example, "racecar" and "level" are palindromes.
Given a string s
, your task is to find the minimum number of characters you need to insert into the string to make it a palindrome. You can insert characters anywhere in the string.
For example, if the input string is "ab", you can insert "a" at the end to get "aba", which is a palindrome. So the minimum number of insertions needed is 1.
Input: s = "zzazz"
Output: 0
Explanation: The string is already a palindrome, so no insertions are needed.
Input: s = "mbadm"
Output: 2
Explanation: Insert 'b' and 'a' to get 'mbadabm'. Note that there are multiple ways to get a palindrome (e.g., 'mdbabdm'), but the minimum number of insertions is always 2.
Input: s = "leetcode"
Output: 5
Explanation: Insert 'e', 'd', 'o', 'c', and 'e' to get 'leetcodocteel'.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are a text editor working on a new feature that helps users create palindromes from their input text. A palindrome is a string that reads the same forward and backward. For example, "racecar" and "level" are palindromes.
Given a string s
, your task is to find the minimum number of characters you need to insert into the string to make it a palindrome. You can insert characters anywhere in the string.
For example, if the input string is "ab", you can insert "a" at the end to get "aba", which is a palindrome. So the minimum number of insertions needed is 1.
The string is already a palindrome, so no insertions are needed.
Insert 'b' and 'a' to get 'mbadabm'. Note that there are multiple ways to get a palindrome (e.g., 'mdbabdm'), but the minimum number of insertions is always 2.
Insert 'e', 'd', 'o', 'c', and 'e' to get 'leetcodocteel'.
The key insight is that the minimum number of insertions needed is related to the longest palindromic subsequence (LPS) of the string.
If we find the LPS of length k in a string of length n, then we need to insert n - k characters to make the entire string a palindrome.
We can use dynamic programming to find the LPS of the string.
Alternatively, we can directly compute the minimum insertions needed using dynamic programming.
This problem has several practical applications:
Creating palindromes for text-based puzzles or word games.
Transforming strings with minimal operations for data normalization.
Correcting errors in transmitted data by making it palindromic for redundancy.
You are a text editor working on a new feature that helps users create palindromes from their input text. A palindrome is a string that reads the same forward and backward. For example, "racecar" and "level" are palindromes.
Given a string s
, your task is to find the minimum number of characters you need to insert into the string to make it a palindrome. You can insert characters anywhere in the string.
For example, if the input string is "ab", you can insert "a" at the end to get "aba", which is a palindrome. So the minimum number of insertions needed is 1.
Input: s = "zzazz"
Output: 0
Explanation: The string is already a palindrome, so no insertions are needed.
Input: s = "mbadm"
Output: 2
Explanation: Insert 'b' and 'a' to get 'mbadabm'. Note that there are multiple ways to get a palindrome (e.g., 'mdbabdm'), but the minimum number of insertions is always 2.
Input: s = "leetcode"
Output: 5
Explanation: Insert 'e', 'd', 'o', 'c', and 'e' to get 'leetcodocteel'.
To solve this problem, we need to:
Apply string manipulation concepts to solve a real-world problem.
You are a text editor working on a new feature that helps users create palindromes from their input text. A palindrome is a string that reads the same forward and backward. For example, "racecar" and "level" are palindromes.
Given a string s
, your task is to find the minimum number of characters you need to insert into the string to make it a palindrome. You can insert characters anywhere in the string.
For example, if the input string is "ab", you can insert "a" at the end to get "aba", which is a palindrome. So the minimum number of insertions needed is 1.
The string is already a palindrome, so no insertions are needed.
Insert 'b' and 'a' to get 'mbadabm'. Note that there are multiple ways to get a palindrome (e.g., 'mdbabdm'), but the minimum number of insertions is always 2.
Insert 'e', 'd', 'o', 'c', and 'e' to get 'leetcodocteel'.
The key insight is that the minimum number of insertions needed is related to the longest palindromic subsequence (LPS) of the string.
If we find the LPS of length k in a string of length n, then we need to insert n - k characters to make the entire string a palindrome.
We can use dynamic programming to find the LPS of the string.
Alternatively, we can directly compute the minimum insertions needed using dynamic programming.
This problem has several practical applications:
Creating palindromes for text-based puzzles or word games.
Transforming strings with minimal operations for data normalization.
Correcting errors in transmitted data by making it palindromic for redundancy.