dynamic programming

Dynamic programming is a technique for solving complex problems by breaking them down into simpler subproblems. It’s like a lazy person’s version of solving a math problem: instead of starting from scratch, you just figure out a way to reuse what you already know. Think of it as a way of taking a shortcut. It’s not a silver bullet, though; it’s only useful when used correctly. Here’s an example: let’s say you want to calculate the maximum sum of a list of numbers. Using dynamic programming, you can break the problem down into smaller subproblems, calculate the maximum sum of each, and then combine them to find the maximum sum of the entire list. Fun fact: dynamic programming is used in computer science, economics, and many other fields.