LeetCode 3085 is a medium-level problem that involves minimizing the number of deletions required to make a given string k-special.
To make a string k-special, the difference between the maximum and minimum frequency of any two letters should be ≤ k.
The problem involves counting the frequency of each character, normalizing frequencies, adjusting values greedily, and finding the configuration with minimal deletions.
In C++, a solution is provided that sorts frequencies for easier analysis and scans for minimum deletions with a time complexity of O(26^2) and space complexity of O(26).
The JavaScript solution follows a similar approach as the C++ solution but is implemented in JavaScript, sorting frequencies and calculating minimum deletions.
A Python solution is also presented, using frequency arrays and greedy optimization to find the minimum deletions required to make the string k-special.
This problem showcases the benefits of frequency analysis and greedy optimizations, transforming a global condition into local transformations via range loops.
The problem provides good practice for frequency array manipulation and greedy analysis on sorted data.
This article offers algorithm insights and optimizations for the LeetCode 3085 problem, highlighting the importance of frequency analysis and local transformations.
The content provides valuable information for algorithm enthusiasts and demonstrates the power of frequency-based optimizations.