Longest Palindromic Substring in DSA Go - Time & Space Complexity

Time Complexity: Longest Palindromic Substring

O(n²)

Understanding Time Complexity

We want to understand how the time needed to find the longest palindromic substring grows as the input string gets longer.

How does the number of steps change when the string size increases?

Scenario Under Consideration

Analyze the time complexity of the following code snippet.

func longestPalindrome(s string) string {
    n := len(s)
    if n == 0 {
        return ""
    }
    start, maxLen := 0, 1
    for i := 0; i < n; i++ {
        expandAroundCenter := func(left, right int) {
            for left >= 0 && right < n && s[left] == s[right] {
                if right-left+1 > maxLen {
                    start = left
                    maxLen = right - left + 1
                }
                left--
                right++
            }
        }
        expandAroundCenter(i, i)     // odd length palindrome
        expandAroundCenter(i, i+1)   // even length palindrome
    }
    return s[start : start+maxLen]
}
    

This code checks every character as a center and expands outwards to find palindromes.

Identify Repeating Operations

Identify the loops, recursion, array traversals that repeat.

• Primary operation: Expanding around each center to check palindrome characters.
• How many times: For each of the n characters, expansion can happen up to n times in worst case.

How Execution Grows With Input

As the string length grows, the number of expansions grows roughly with the square of the length.

Input Size (n)	Approx. Operations
10	About 100 expansions
100	About 10,000 expansions
1000	About 1,000,000 expansions

Pattern observation: Doubling the input size roughly quadruples the work.

Final Time Complexity

Time Complexity: O(n²)

This means the time needed grows roughly with the square of the input size, so longer strings take much more time.

Common Mistake

[X] Wrong: "Checking palindromes around each center is just O(n) because we only loop once."

[OK] Correct: Each center can expand up to n times, so the total work is much more than a single loop.

Interview Connect

Understanding this time complexity helps you explain why some palindrome solutions are slower and shows your grasp of nested loops and string processing.

Self-Check

"What if we used dynamic programming to store palindrome checks? How would the time complexity change?"

Practice

1. What is the main goal when finding the Longest Palindromic Substring in a given string?

easy

A. To find the longest continuous sequence of characters that reads the same backward and forward

B. To find the longest substring with all unique characters

C. To find the longest substring that contains only vowels

D. To find the longest substring that starts and ends with the same character

Solution

1. Step 1: Understand palindrome definition

   A palindrome reads the same backward and forward, like 'madam' or 'racecar'.

2. Step 2: Identify longest continuous palindrome

   The problem asks for the longest continuous substring that is a palindrome, not just any substring or character pattern.

3. Final Answer:

   To find the longest continuous sequence of characters that reads the same backward and forward -> Option A

4. Quick Check:

   Longest palindromic substring = continuous palindrome [OK]

Hint: Look for continuous sequences that mirror around center [OK]

Common Mistakes:

• Confusing substring with subsequence
• Looking for unique characters instead of palindrome
• Ignoring continuity of substring

2. Which of the following Go function signatures is correct for a function that returns the longest palindromic substring from a string s?

easy

A. func longestPalindrome(s int) string

B. func longestPalindrome(s string) string

C. func longestPalindrome(s string) int

D. func longestPalindrome() string

Solution

1. Step 1: Check input parameter type

   The input should be a string to find its palindromic substring, so parameter type must be string.

2. Step 2: Check return type

   The function returns the longest palindromic substring, which is a string, so return type must be string.

3. Final Answer:

   func longestPalindrome(s string) string -> Option B

4. Quick Check:

   Input string, output string [OK]

Hint: Input and output both are strings for palindrome substring [OK]

Common Mistakes:

• Using wrong input type like int
• Returning int instead of string
• Missing input parameter

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

package main
import "fmt"

func longestPalindrome(s string) string {
    start, maxLen := 0, 1
    for i := 0; i < len(s); i++ {
        for j := i; j < len(s); j++ {
            sub := s[i : j+1]
            if isPalindrome(sub) && len(sub) > maxLen {
                start = i
                maxLen = len(sub)
            }
        }
    }
    return s[start : start+maxLen]
}

func isPalindrome(str string) bool {
    for i := 0; i < len(str)/2; i++ {
        if str[i] != str[len(str)-1-i] {
            return false
        }
    }
    return true
}

func main() {
    fmt.Println(longestPalindrome("babad"))
}

medium

A. "bab"

B. "aba"

C. "bad"

D. "babad"

Solution

1. Step 1: Understand the code logic

   The code checks all substrings and updates the longest palindrome found. For "babad", "bab" and "aba" are both palindromes of length 3.

2. Step 2: Check which palindrome is returned

   The code updates start and maxLen when a longer palindrome is found. It finds "bab" first and keeps it because "aba" comes later but has the same length, so "bab" remains.

3. Final Answer:

   "bab" -> Option A

4. Quick Check:

   First longest palindrome found = "bab" [OK]

Hint: Check first longest palindrome found in order [OK]

Common Mistakes:

• Assuming "aba" is returned instead of "bab"
• Thinking entire string is palindrome
• Ignoring substring length comparison

4. The following Go code attempts to find the longest palindromic substring but has a bug. What is the bug?

func longestPalindrome(s string) string {
    start, maxLen := 0, 1
    for i := 0; i < len(s); i++ {
        for j := i; j < len(s); j++ {
            sub := s[i:j]
            if isPalindrome(sub) && len(sub) > maxLen {
                start = i
                maxLen = len(sub)
            }
        }
    }
    return s[start : start+maxLen]
}

medium

A. The function isPalindrome is missing

B. The loop should start from j = i+1 instead of j = i

C. maxLen should be initialized to 0 instead of 1

D. The substring slice should be s[i:j+1] to include character at index j

Solution

1. Step 1: Check substring slicing

   In Go, s[i:j] excludes character at index j, so substring misses last character.

2. Step 2: Correct slicing to include last character

   Changing to s[i:j+1] includes character at j, ensuring full substring is checked.

3. Final Answer:

   The substring slice should be s[i:j+1] to include character at index j -> Option D

4. Quick Check:

   Substring slicing excludes last char if j not incremented [OK]

Hint: Remember Go slices exclude end index, use j+1 [OK]

Common Mistakes:

• Using s[i:j] misses last character
• Not adjusting loop indices accordingly
• Assuming isPalindrome is missing

5. Given the string s = "forgeeksskeegfor", which approach below efficiently finds the longest palindromic substring and what is that substring?

hard

A. Expand around center approach; longest palindrome is "forgeeksskeegfor"

B. Brute force checking all substrings; longest palindrome is "forgeeksskeegfor"

C. Dynamic programming with memoization; longest palindrome is "geeksskeeg"

D. Sorting characters and checking palindrome; longest palindrome is "ss"

Solution

1. Step 1: Identify efficient methods

   Dynamic programming stores palindrome info to avoid repeated checks, efficient for this problem.

2. Step 2: Find longest palindrome in given string

   "geeksskeeg" is the longest palindromic substring inside "forgeeksskeegfor"; entire string is not palindrome.

3. Final Answer:

   Dynamic programming with memoization; longest palindrome is "geeksskeeg" -> Option C

4. Quick Check:

   DP finds "geeksskeeg" efficiently [OK]

Hint: Use DP or expand center for efficient palindrome search [OK]

Common Mistakes:

• Assuming entire string is palindrome
• Using brute force which is slow
• Sorting characters breaks substring continuity