Introduction

In the programming world, algorithms are a focal point of attention. Programming challenges are solved using intricate mathematical and computational techniques. Do you have any idea how these algorithms are created?

Many product-based businesses like to assess the problem-solving abilities of their candidates. Optimization problems contain complex and extensive solution spaces, so they are a must-have for these types of programming interviews. The algorithmic paradigm of dynamic programming is primarily used to formulate solutions to these optimization problems. As a result, mastering this problem-solving strategy is crucial if you want to be a successful and competitive programmer. If you do not have any experience with dynamic programming, fear not. In this lesson, we'll learn everything there is to know about the dynamic programming paradigm.