131. Palindrome Partitioning - Detailed Explanation
Problem Statement
Description:
Given a string s
, partition s
such that every substring of the partition is a palindrome. Return all possible palindrome partitioning of s
.
A palindrome is a string that reads the same forward and backward.
Constraints:
- The length of string
s
is between1
and16
. s
consists of lowercase English letters only.
Example 1:
- Input:
s = "aab"
- Output:
[["a","a","b"], ["aa","b"]]
- Explanation:
- One valid partition is splitting into
"a"
,"a"
, and"b"
, where each substring is a palindrome. - Another valid partition is splitting into
"aa"
and"b"
, where"aa"
is a palindrome.
- One valid partition is splitting into
Example 2:
- Input:
s = "a"
- Output:
[["a"]]
- Explanation:
- The only possible partition is the string itself.
Example 3:
- Input:
s = "racecar"
- Output:
[["r", "a", "c", "e", "c", "a", "r"], ["r", "aceca", "r"], ["racecar"]]
- Explanation:
- There are multiple ways to partition
"racecar"
into palindromic substrings.
- There are multiple ways to partition
Hints Before the Solution
- Hint 1: Think about how you can check if a substring is a palindrome in an efficient manner.
- Hint 2: Consider using a backtracking approach to explore every possible partition and only keep the partitions where every substring is a palindrome.
Approaches
Approach 1: Brute Force (Generate All Partitions)
Explanation:
- Idea:
Generate all possible ways to partition the string into substrings, then check each partition to determine if every substring is a palindrome. - How It Works:
- Enumerate every possible partition (there are (2^{(n-1)}) ways to partition a string of length (n)).
- For each partition, verify if every substring is a palindrome.
- Drawbacks:
- This approach is conceptually simple but inefficient as it involves generating many invalid partitions.
- Complexity:
- Time: Exponential, O(2^n * n) in the worst-case.
- Space: O(n) for recursion and partition storage.
Approach 2: Backtracking (Optimal Approach)
Explanation:
-
Idea:
Use backtracking to explore possible partitions. At each step, choose a prefix that is a palindrome and recursively partition the remainder of the string. -
How It Works:
- Start with an empty list for the current partition.
- Iterate through the string and for each index, check if the substring from the current start to that index is a palindrome.
- If it is, add it to the current partition and recursively process the remaining substring.
- When the entire string is partitioned, add the current partition to the result list.
-
Why It Works:
This method only explores valid partitions by making sure each chosen substring is a palindrome before proceeding. -
Complexity:
- Time: Worst-case time is exponential O(2^n) since there can be a huge number of partitions.
- Space: O(n) for recursion depth and temporary storage.
Python Code
Below is the Python implementation using a backtracking approach:
Java Code
Below is the Java implementation using the backtracking approach.
Complexity Analysis
- Time Complexity:
- Worst-Case: O(2^n * n), because in the worst-case scenario (e.g., when every substring is a palindrome, like in a string of identical characters), we explore nearly all possible partitionings.
- Space Complexity:
- O(n) for the recursion stack, plus additional space for storing the current partition, and the final results, which in the worst-case may also be exponential in number.
Step-by-Step Walkthrough & Visual Example
Consider the example s = "aab"
:
-
Initial Call:
Start with an empty partition andstart = 0
. -
First Level (start = 0):
- Check substring
"a"
(indices 0 to 0): It is a palindrome.- Add
"a"
to the current partition → current partition becomes["a"]
. - Recurse with
start = 1
.
- Add
- Also, check substring
"aa"
(indices 0 to 1): It is a palindrome.- Add
"aa"
to the current partition → current partition becomes["aa"]
. - Recurse with
start = 2
.
- Add
- Substring
"aab"
(indices 0 to 2) is not a palindrome.
- Check substring
-
Second Level (for partition
["a"]
, start = 1):- Check substring
"a"
(indices 1 to 1): It is a palindrome.- Add
"a"
to get["a", "a"]
. - Recurse with
start = 2
.
- Add
- Check substring
"ab"
(indices 1 to 2): Not a palindrome.
- Check substring
-
Third Level (for partition
["a", "a"]
, start = 2):- Check substring
"b"
(indices 2 to 2): It is a palindrome.- Add
"b"
to get["a", "a", "b"]
. - Since
start
becomes 3 (end of string), add this partition to the result.
- Add
- Check substring
-
Backtracking:
- Backtrack and try the partition starting with
"aa"
from the first level:- For partition
["aa"]
(start = 2):- Check substring
"b"
(indices 2 to 2): It is a palindrome.- Add
"b"
→ partition becomes["aa", "b"]
. - Recurse with
start = 3
and add this partition to the result.
- Add
- Check substring
- For partition
- Backtrack and try the partition starting with
Final Partitions:
The result will contain:
[["a", "a", "b"], ["aa", "b"]]
A visual tree of recursion would look like:
""
/ \
"a" "aa"
/ \
"a" "b"
/ \
"b" (end)
(end)
Common Mistakes, Edge Cases & Alternative Variations
Common Mistakes:
- Incorrect Palindrome Check:
Failing to correctly check if a substring is a palindrome (e.g., not handling even-length palindromes properly). - Inefficient Backtracking:
Not backtracking correctly by forgetting to remove the last element, which can cause incorrect partitions. - Missing Base Case:
Not handling the case when the entire string has been partitioned, leading to incomplete or incorrect results.
Edge Cases:
- Single Character String:
The string"a"
should return[["a"]]
. - All Characters Same:
For a string like"aaa"
, there are multiple valid partitions (e.g.,["a","a","a"]
,["aa","a"]
,["a","aa"]
,["aaa"]
). - Empty String:
Although the constraints specify at least one character, always consider what your function should do if the input is empty.
Alternative Variations:
-
Minimum Palindrome Partitioning:
Find the minimum number of cuts needed to partition the string such that every substring is a palindrome. -
Longest Palindromic Substring:
Given a string, find the longest substring which is a palindrome. -
Palindrome Partitioning II:
Variations where you may need to count the number of palindromic partitions or return the partition with specific constraints.
Related Problems for Further Practice
-
Longest Palindromic Substring:
Given a string, return the longest substring that is a palindrome. -
Minimum Cut for Palindrome Partitioning:
Given a string, return the minimum number of cuts needed to partition it so that every substring is a palindrome. -
Palindrome Permutation:
Check if any permutation of a given string is a palindrome. -
Subsets/Backtracking Problems:
Practice other backtracking problems like generating all subsets or combinations.
GET YOUR FREE
Coding Questions Catalog
