Dynamic Programming

11/28/24

“How can we solve a complex programming problem by breaking it into sub-problems?”

Some programming problems can be incredibly complex to solve. But by breaking it into repeatable sub-problems, we can create solutions for these to work into a solution for the larger overall problem eventually. This technique is called Dynamic Programming and can be used in all sorts of applications, ranging from finding the smallest distance between two points to deciding the most optimal way to arrange items in a piece of luggage.