Leetcode 1638 Count Substrings That Differ by One Character  Summary and Q&A
TL;DR
The video explains a method to count substrings differing by one character between two given strings.
Key Insights
 đ Efficient substring comparison is crucial to solve character difference problems without facing time limitations.
 đŗ The importance of character difference counting hinges on managing breaks in loops when encountering more than one mismatch, optimizing processes.
 đĻģ Visual aids and manual practice can significantly help in understanding complex coding concepts.
 â Understanding constraints ensures that the solution remains within feasible computational limits.
 đ The algorithm balances between simplicity and effectiveness, making it accessible for those learning coding.
 đģ The iterative comparison method allows for a clear breakdown of how the substring differences are calculated.
 đŦ Community engagement, through comments and suggestions, is encouraged for alternative problemsolving approaches.
Transcript
hey there everyone welcome back to lead coding in this video we will be solving the problem count sub strings that differ by one character the problem statement is we are given two strings s and t find the number of ways you can choose a nonempty substring of s and replace a single character by a different character such that resulting substring i... Read More
Questions & Answers
Q: What is the main objective of the problem discussed in the video?
The main objective is to determine how many nonempty substrings from string 's' can be modified by changing exactly one character to match a substring of string 't'. The concept is to identify pairs of substrings that only differ in one position.
Q: How does the algorithm approach the problem of substring comparison?
The algorithm approach involves nested loops that iterate through every starting index of substrings in both strings. It compares characters of substrings character by character, counting the number of differences. If exactly one difference is found during iteration, the count is incremented.
Q: What is the time complexity of the proposed solution in the video?
The time complexity of the proposed solution is O(n^3), where 'n' is the length of the longest string among 's' and 't'. This cubic time complexity stems from the nested loops iterating through each character of the substrings, but remains efficient given the maximum constraint of 100 characters.
Q: Why does the author recommend viewers to practice the example with a pen?
The author encourages viewers to replicate the example using a pen to enhance clarity and understanding of the logic involved in counting substrings differing by one character. Writing it out manually helps reinforce the problemsolving approach and better grasp the comparisons being made.
Q: What are the main challenges faced when counting substrings differing by one character?
The main challenges include efficiently finding all possible nonempty substrings from the first string that match the criteria with the second string while avoiding an exponential time complexity. The problem also requires careful handling of character comparisons to ensure that only one differing character is counted.
Q: What future content does the author mention they will cover?
The author indicates that future content might include solving another problem related to counting the number of ways to form a target string from a given dictionary. They express intention to share more coding solutions and problemsolving techniques in upcoming videos.
Summary & Key Takeaways

The problem requires finding nonempty substrings in one string that differ from substrings in another string by exactly one character. The challenge lies in efficiently counting these substrings without exceeding computational limits.

An algorithm is proposed that loops through each position in both strings, checking character differences and incrementing a count when a difference of one is found. The complexity is manageable due to reasonable constraints.

A coding solution is presented, illustrating the implementation of the algorithm with discussions on its correctness and time complexity, revealing it as a cubic solution that operates efficiently within set limits.