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Ans. Dynamic Programming is basically a large class of algorithms. The idea is to break down a large problem into incremental steps so that, at any given point and time, all the optimal solutions are known to sub-problems.
Ans. Dynamic programming is widely used in areas such as bioinformatics for tasks like sequence alignment, RNA structure prediction, protein folding, and protein-DNA binding.
Ans. Follow these steps to get better at dynamic programming:
Ans. If you have a flair for programming and wish to pursue the career of a successful programmer in the near future, then you should definitely learn dynamic programming.
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