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📝 Beginner-Friendly Guide "Maximum Manhattan Distance After K Changes" LeetCode 3443 (C++ | Python | JavaScript)
- LeetCode 3443 is a medium-level problem involving navigating a grid with restrictions on direction changes.
- The task is to maximize the Manhattan distance (|x| + |y|) achievable at any point during the movement process.
- By considering different dominant directions and adjusting movements, the goal is to reach the farthest edge.
- The solution involves greedily spending direction changes to optimize the movement and track maximum distance.
- In C++, a solution using a greedy approach with linear scanning has been provided.
- The time complexity of the C++ solution is O(n) and the space complexity is O(1).
- A JavaScript solution has also been presented using a similar greedy strategy for maximizing the distance.
- Additionally, a Python solution implementing the same logic with a focus on direction changes and distance tracking is available.
- This problem showcases a clever blend of grid simulation and a greedy approach to achieve optimal results.
- It efficiently handles a large number of operations and encourages algorithmic intuition development.
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