3003. Maximize the Number of Partitions After Operations | Leetcode Daily - Python
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In this video, we're diving deep into LeetCode 3003: Maximize the Number of Partitions After Operations. This is a hard-level problem that combines string manipulation with clever optimization techniques. We'll start by breaking down the problem rules: you get one chance to change a character, and then you must partition the string based on a distinct character limit 'k'.
We'll analyze why the naive brute-force solution is too slow and then reveal the core insight that makes this problem solvable: a single character change has a very local impact. This leads us to an efficient O(N) solution using prefix and suffix arrays to pre-calculate partition data. To make our set operations lightning-fast, we'll also implement bitmasks.
Follow along as we walk through the logic step-by-step and then see the full implementation in Python, Java, C++, and JavaScript. By the end, you'll understand the divide-and-conquer strategy and how to use bitmasks effectively in your own solutions.
Perfect for coding interview preparation and improving problem-solving skills.
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Solution Link:
https://leetcode.com/problems/maximiz...
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