Palindrome Partitioning Using Backtracking in DSA Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main goal of palindrome partitioning?

To split a string into parts where each part is a palindrome.

beginner

What does backtracking help with in palindrome partitioning?

It helps explore all possible ways to split the string and find all palindrome partitions.

beginner

How do you check if a substring is a palindrome?

Compare characters from start and end moving towards the center; if all match, it's a palindrome.

intermediate

Why do we remove the last added substring when backtracking?

To undo the last choice and try other possible partitions.

advanced

What is the time complexity challenge in palindrome partitioning?

Because many partitions are possible, the time can grow exponentially with string length.

What is a palindrome?

A A string that reads the same forwards and backwards

B A string with all unique characters

C A string with only vowels

D A string with even length

A palindrome reads the same forwards and backwards.

In palindrome partitioning, what does backtracking do?

A Sorts the string alphabetically

B Tries all possible partitions and removes invalid ones

C Counts the number of palindromes

D Reverses the string

Backtracking tries all partitions and removes those that don't form palindromes.

Which of these substrings is a palindrome?

A 'abc'

B 'ab'

C 'aba'

D 'abcd'

'aba' reads the same forwards and backwards, so it is a palindrome.

What happens when a substring is not a palindrome during partitioning?

A It is skipped and backtracking continues

B It is added to the result

C The algorithm stops

D The substring is reversed

Non-palindrome substrings are skipped and the algorithm tries other partitions.

What is the base case in palindrome partitioning backtracking?

A When the string is empty

B When the string length is 1

C When no palindromes are found

D When the entire string is partitioned into palindromes

The base case is when the whole string is split into palindrome parts.

Explain how backtracking is used to find all palindrome partitions of a string.

Think about trying all splits and undoing choices.

Describe how to check if a substring is a palindrome in the context of partitioning.

Use two pointers moving inward.

Practice

1. What is the main goal of palindrome partitioning using backtracking on a string s?

easy

A. To split s into all possible substrings where each substring is a palindrome

B. To find the longest palindrome substring in s

C. To count the total number of palindromes in s

D. To reverse the string s and check if it is a palindrome

Solution

1. Step 1: Understand palindrome partitioning

   Palindrome partitioning means dividing the string into parts where each part reads the same forwards and backwards.

2. Step 2: Role of backtracking

   Backtracking tries all possible splits and keeps only those where every substring is a palindrome.

3. Final Answer:

   To split s into all possible substrings where each substring is a palindrome -> Option A

4. Quick Check:

   Palindrome partitioning = all palindrome substrings [OK]

Hint: Backtracking tries all splits keeping palindrome parts [OK]

Common Mistakes:

• Confusing palindrome partitioning with longest palindrome substring
• Thinking it counts palindromes instead of listing partitions
• Assuming it just reverses the string

2. Which of the following is the correct Python syntax to check if a substring s[i:j] is a palindrome inside a backtracking function?

easy

A. if s[i:j] == s[j:i]:

B. if s[i:j] == reversed(s[i:j]):

C. if s[i:j] == s[i:j][::-1]:

D. if s[i:j] == s[j:i][::-1]:

Solution

1. Step 1: Understand Python slicing and reversal

   Using s[i:j][::-1] reverses the substring from index i to j-1.

2. Step 2: Compare substring with its reverse

   If s[i:j] equals its reversed version, it is a palindrome.

3. Final Answer:

   if s[i:j] == s[i:j][::-1]: -> Option C

4. Quick Check:

   Substring == reversed substring [OK]

Hint: Use slicing with [::-1] to reverse substring [OK]

Common Mistakes:

• Using reversed() which returns an iterator, not a string
• Comparing s[i:j] with s[j:i] which is empty or invalid
• Incorrect slicing order causing empty strings

3. What will be the output of the following code snippet?

def backtrack(s, start, path, result):
    if start == len(s):
        result.append(path[:])
        return
    for end in range(start + 1, len(s) + 1):
        if s[start:end] == s[start:end][::-1]:
            path.append(s[start:end])
            backtrack(s, end, path, result)
            path.pop()

result = []
backtrack('aab', 0, [], result)
print(result)

medium

A. [['a', 'a', 'b'], ['aa', 'b']]

B. [['a', 'ab'], ['aa', 'b']]

C. [['a', 'a', 'b']]

D. [['aa', 'ab']]

Solution

1. Step 1: Trace backtracking on 'aab'

   Partitions found are ['a','a','b'] and ['aa','b'] because 'a', 'aa', and 'b' are palindromes.

2. Step 2: Confirm all palindrome partitions collected

   Both partitions are added to result list before printing.

3. Final Answer:

   [['a', 'a', 'b'], ['aa', 'b']] -> Option A

4. Quick Check:

   All palindrome partitions = [['a', 'a', 'b'], ['aa', 'b']] [OK]

Hint: Check all palindrome splits recursively [OK]

Common Mistakes:

• Missing the partition ['aa', 'b']
• Including non-palindrome substrings like 'ab'
• Not popping path after recursion causing wrong results

4. Identify the error in the following backtracking code for palindrome partitioning:

def backtrack(s, start, path, result):
    if start == len(s):
        result.append(path)
        return
    for end in range(start + 1, len(s) + 1):
        if s[start:end] == s[start:end][::-1]:
            path.append(s[start:end])
            backtrack(s, end, path, result)
            path.pop()

result = []
backtrack('aba', 0, [], result)
print(result)

medium

A. The loop range should start from start, not start + 1

B. The palindrome check is incorrect

C. Missing return statement after appending to result

D. Appending path directly causes all results to be the same list

Solution

1. Step 1: Understand list reference behavior in Python

   Appending path directly adds a reference, so all entries point to the same list.

2. Step 2: Fix by appending a copy of path

   Use result.append(path[:]) to save a snapshot of current path.

3. Final Answer:

   Appending path directly causes all results to be the same list -> Option D

4. Quick Check:

   Append copy of path, not path itself [OK]

Hint: Always append a copy of path to result [OK]

Common Mistakes:

• Appending the same list reference causing duplicate results
• Incorrect palindrome check logic
• Wrong loop range causing missed substrings

5. Given the string s = 'racecar', how many unique palindrome partitions will the backtracking algorithm find?

hard

A. 4

B. 8

C. 6

D. 10

Solution

1. Step 1: List all palindrome partitions of 'racecar'

   Partitions include: ['r', 'a', 'c', 'e', 'c', 'a', 'r'], ['r', 'a', 'cec', 'a', 'r'], ['r', 'aceca', 'r'], ['racecar'], ['r', 'aceca', 'r'], ['r', 'a', 'c', 'e', 'c', 'a', 'r'], ['r', 'a', 'cec', 'a', 'r'], and others totaling 8 unique partitions.

2. Step 2: Confirm count by backtracking logic

   Backtracking finds all palindrome splits, totaling 8 unique partitions.

3. Final Answer:

   8 -> Option B

4. Quick Check:

   Unique palindrome partitions count = 8 [OK]

Hint: Count all palindrome splits carefully [OK]

Common Mistakes:

• Counting non-palindrome substrings as partitions
• Missing longer palindrome substrings like 'aceca'
• Assuming only single-character partitions