Elevate your problem-solving skills with our meticulously crafted notes on dynamic programming. These comprehensive notes serve as a valuable resource for students, researchers, and professionals seeking to master this essential technique for solving complex optimization problems.
Dynamic Programming
Introduction
Dynamic Programming is a problem-solving technique used in computer science to
break down complex problems into smaller, more manageable sub-problems. These
sub-problems are then solved individually, and their solutions are combined to solve
the original problem.
How It Works
Dynamic Programming works by solving sub-problems and storing their solutions in
a table to avoid re-calculating them. The answers to the sub-problems are used to
solve the original problem.
For example, imagine you have a big jigsaw puzzle. You can't put all the pieces
together at once, so you start by finding the edge pieces and putting them together.
Dynamic programming 1
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