Dynamic programming is a powerful algorithmic paradigm with lots of applications in areas like optimisation, scheduling, planning, bioinformatics, and others. For this reason, it is not surprising that it is the most popular type of problems in competitive programming. A common feature of such problems is that a solution is usually easy to implement. This does not however mean that it is also easy to find a solution! Therefore, it is important to practice solving such problems. And this is exactly what we are going to do in this module!

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