Data Structures and Algorithms The Complete Masterclass - Longest Palindromic Substring – Part 2

The video tutorial explains how to solve the longest palindrome substring problem. It begins with initializing variables and setting up a loop to iterate through the string. A helper function is created to check palindrome conditions by expanding around potential centers. The solution is implemented and tested, with a focus on understanding the logic and ensuring efficiency. The tutorial concludes with a discussion on time and space complexity.

What is the first step in solving the longest palindrome substring problem?

• Reverse the string.

• Count the number of vowels in the string.

• Sort the string alphabetically.

• Initialize a variable called 'result'.

Why is the result variable initially empty?

• To store the sorted string.

• To count the number of characters.

• To store the reversed string.

• To store the longest palindrome found.

What is the purpose of the helper function in the palindrome algorithm?

• To check if a substring is a palindrome.

• To sort the string.

• To count the number of characters in the string.

• To reverse the string.

Which condition is NOT checked in the helper function for palindrome?

• The string is in uppercase.

• Left and right characters are equal.

• Right index is less than the length of the string.

• Left index is greater than or equal to zero.

What happens when the left and right characters are equal in the palindrome check?

• The characters are swapped.

• The width is expanded by decreasing left and increasing right.

• The loop terminates immediately.

• The string is reversed.

What is the role of the 'left' and 'right' indices in the algorithm?

• To reverse the string.

• To sort the string.

• To count the number of vowels.

• To determine the boundaries of the palindrome.

How is the longest palindrome substring determined?

• By sorting the substrings alphabetically.

• By reversing the string.

• By counting the number of vowels.

• By comparing the lengths of potential palindromes.

What is the time complexity of the palindrome algorithm?

• O(log n)

• O(n^2)

• O(n^3)

• O(n)

What is the space complexity of the palindrome algorithm?

• O(n)

• O(n^2)

• O(1)

• O(log n)

What should you do if you have doubts about the algorithm?

• Skip to the end of the lecture.

• Stop the lecture and review the steps with examples.

• Ignore the doubts and continue.

• Ask a friend for help.