I'm going to explain to you how I mastered data structures and algorithms quickly without hating my life. Now, I say that ...

Google’s DeepMind AI group has released a reinforcement learning tool that can develop extremely optimized algorithms. It does this without first being trained on human code examples because it ...

In this paper, we develop a data-driven iterative adaptive dynamic programming algorithm to learn offline the approximate optimal control of unknown discrete-time nonlinear systems. We do not use a ...

These algorithms could be used to simulate quantum systems related to material sciences or chemistry, for example.

It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

This repository contains my solutions and notes for the NPTEL Programming, Data Structures And Algorithms Using Python course. The course covers fundamental, intermediate programming, data structures, ...

Most of it went over my head, but as I experimented with the examples, I began to feel the thrill that people who fall for computer programming often talk about — the revelation that, with just ...