Dynamic Programming

Travis chat

Analytics Vidhya

Dynamic Programming (DP) is an algorithmic technique for solving an optimization problem by breaking it down into smaller sub-problems and taking advantage of the fact that the best solution to the…

Dynamic Programming is Simple

Python in Plain English

Many people struggle with DP problems. That often happens because of the common misconception that to come up with the solution for the DP problem, you should magically discover a way to construct a…

Dynamic Programming Basics

The Pythoneers

Photo by WrongTog on Unsplash Dynamic programming (DP) is one of the most powerful techniques in computer science for solving complex problems by breaking them down into simpler subproblems. The metho...

Solving Problems With Dynamic Programming

Towards Data Science

Dynamic programming is a really useful general technique for solving problems that involves breaking down problems into smaller overlapping sub-problems, storing the results computed from the…

Beginners Guide to Dynamic Programming

Towards Data Science

Sometimes when you write code it might take some time to execute or it may never run even if your logic is fine. Dynamic programming solves the problem by optimizing the code.

Quick Guide to Dynamic Programming

Towards Data Science

Dynamic programming is a general method to solve optimization problems (“find the maximum/minimum/shortest/longest…”) by breaking them down into smaller ones (“divide and conquer”) and keeping track…

Dynamic Programming: The Framework

Towards Data Science

What You Need to Know for Your Coding Interview Continue reading on Towards Data Science

Mastering Dynamic Programming

Towards Data Science

Understanding the fundamentals and knowing when and how to apply this optimization technique Continue reading on Towards Data Science

A Systematic Approach to Dynamic Programming

Better Programming

Dynamic programming (DP) can be an intimidating concept at first. This problem-solving technique builds on non-intuitive constructs such as recursion, backtracking, and recurrence relations. The good…...

Understanding Dynamic Programming

Towards Data Science

Dynamic programming, or DP, is an optimization technique. It is used in several fields, though this article focuses on its applications in the field of algorithms and computer programming. Its a…

Reinforcement Learning: Dynamic Programming

Towards Data Science

In two previous articles, I broke down the first things most people come across when they delve into reinforcement learning: the Multi Armed Bandit Problem and Markov Decision Processes. Most games…

Obvious Dynamic Programming

Towards Data Science

Many problems in this world cannot be solved with efficient algorithms. By that, I mean there are no algorithms faster than brute force. Even if we used brute force, for a lot of problems we wouldn’t…...