<ul><li>Problem solving for DSA requires a structured approach to be efficient.</li><li>Understanding the problem, planning the algorithm, and testing it before implementation is crucial.</li><li>Starting with reading and understanding the question properly is key.</li><li>Choosing the core question from a problem statement helps in focusing on the main issue.</li><li>Solving sub-problems methodically and ticking them off boosts motivation.</li><li>Using the PBOI approach: Pen & Paper, Bruteforce, Optimize, Implement.</li><li>Translating the algorithm into pseudo-code aids in clear implementation.</li><li>Dry-running the problem with pseudo-code saves time and helps in error detection.</li><li>Calculating time complexity and optimizing the algorithm on paper is beneficial.</li><li>Implementation after optimization should be done manually for better understanding.</li></ul>

An efficient approach to problem solving for DSA

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