The systematic approach of problem-solving involves understanding the problem deeply, experimenting with different solutions, building a working solution, and optimizing for performance.
Starting with a clear problem statement, experimenting fearlessly with initial incorrect logic helps in learning from mistakes and improving the approach.
The breakthrough moment often comes from fixing the logic errors and aligning the approach with the correct solution.
The optimization journey focuses on improving efficiency by handling edge cases, early termination, and enhancing the overall performance of the code.