Dynamic Programming

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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…...

Algorithms Explained #5: Dynamic Programming

Towards Data Science

Explanation of dynamic programming with example solutions to discrete knapsack and longest common subsequence problems in Python Continue reading on Towards Data Science

What is Dynamic Programming?

Javarevisited

Hi folks 👋,In this episode, we are going to learn about dynamic programming, An approach to solving some mathematically hard problems in computer science. Dynamic Programming is one of the widely use...

Dynamic Programming: Mathematical Optimization Model

Analytics Vidhya

Dynamic Programming

The Technical Interview Guide to Dynamic Programming

Better Programming

After discussing how to prepare string manipulation interview questions, we are going to focus on another hot topic: dynamic programming. Dynamic programming is a method to solve a larger problem by…

Getting Started with dynamic programming

Javarevisited

Dynamic Programming is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. The ...

Understanding Dynamic Programming in theory and practice

Level Up Coding

Dynamic Programming is one of the challenging algorithmic paradigms that require proper and consistent practice to get comfortable with. In this article, I'm going to first explain the principles of…

Dynamic Programming Part 1: Identifying & approaching problem

Analytics Vidhya

This article tries to explain how to identify a problem can be solved by Dynamic Programming technique and illustrates how to approach the solution by taking 0/1 Knapsack problem as an example. You…

Course 1 — Algorithmic toolbox — Part 4: Dynamic programming

Towards Data Science

Dynamic programming is a very powerful algorithmic design technique to solve many exponential problems. In practice, dynamic programming likes recursive and “re-use”. So to solve problems with…

Recursion to Dynamic Programming

Level Up Coding

There are a lot of articles explaining the concepts of Dynamic Programming and ways to solve a problem using the Top-Down and Bottom-Up Approach of Dynamic Programming. If you haven’t read I would…

Dynamic Programming in Python

Python in Plain English

DP or Dynamic Programming has always been a hot topic for programmers, for solving a DP problem one has to think of recursive solution for a given problem, the main idea of DP is to avoid…

Dynamic Programming for Data Scientists

Towards Data Science

Algorithms and data structures are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many…

Dynamic Programming in RL

Towards Data Science

Dynamic Programming is a mathematical optimization approach typically used to improvise recursive algorithms. It basically involves simplifying a large problem into smaller sub-problems. There are…