Leetcode 1624. Largest Substring Between Two Equal Characters  Summary and Q&A
TL;DR
The video explains how to find the largest substring between repeated characters in a string.
Key Insights
 👣 The problem of finding substrings can be efficiently solved using the first occurrence tracking method with a simple array.
 ❓ Initializing an array with values of 1 is crucial for identifying the first appearance of characters.
 👣 The maximum length is determined by tracking distances between the first and subsequent appearances of repeated characters.
 ❓ The solution efficiently manages up to 26 character comparisons, regardless of string length, focusing on alphabetic characters.
 👨🔬 This approach avoids nested loops, significantly reducing potential time complexity challenges associated with naive substring searches.
 🍵 Handling no valid equal characters by returning 1 provides robustness to the solution.
 ❓ The algorithm is particularly useful in competitive programming and technical interviews due to its clarity and efficiency.
Transcript
what's up everyone welcome back to lead coding in this video we will be solving the problem largest substring between two equal characters so the name of the problem itself is sufficient to describe the problem we are given a string s and we have to return the largest size of the substring which is present between two equal characters so in this ca... Read More
Questions & Answers
Q: What is the main problem addressed in the video?
The main problem is determining the largest size of a substring present between two equal characters in a string. The video articulates the conditions under which the substring is calculated and the expected outcomes based on different scenarios.
Q: How does the solution initialize the character tracking array?
The solution initializes an array of size 26 to represent each letter of the alphabet. It sets all elements to 1 initially to indicate that no characters have been encountered yet. This allows the algorithm to check if a character is appearing for the first time by checking if the corresponding index in the array still holds 1.
Q: What is the approach for calculating the length of substrings?
The approach involves tracking the first occurrence of each character’s index. When a character appears again, the algorithm calculates the distance between the current index and the stored index, subtracting 1 to find the length of the substring between them. This is done using an array to reference these indices efficiently.
Q: What is the time and space complexity of the solution?
The solution has a time complexity of O(n), where n is the length of the input string, since it traverses the string only once. The space complexity is O(1), as it uses a fixedsize array of 26 elements, regardless of the input size.
Q: What edge cases does the solution address?
The solution accounts for cases where there are no equal characters, returning 1 to indicate no valid substring exists. It also handles cases with repeated characters correctly to ensure the largest substring distance is calculated accurately.
Q: How effective is this algorithm for longer strings?
The algorithm is very effective for longer strings because it maintains linear time complexity. It can process strings of any reasonable length efficiently due to its constant space usage and quick tracking of first occurrences of characters.
Summary & Key Takeaways

The video presents a problem where we need to identify the largest substring found between two equal characters in a given string.

It discusses a method to keep track of the first occurrence of each character using an array and then calculates the possible sizes of substrings based on these first occurrences.

The implementation is efficient, using constant space and linear time complexity, ensuring that it can handle varying string lengths effectively.