Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Apurva Pathak is a prominent machine learning expert and software engineer currently based in Newark, California. With a ...

The CodeChef IDE lets you code right in your browser, making it easy to start practicing with their problem sets. Understanding time and memory limits is key; your code needs to be both fast and ...

Hands-on experience is the most direct way to get better at programming. Watching videos or reading tutorials only gets you ...

The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential equation. Such an equation is well-defined (with probability ...

For UINTAH, combining asynchronous tasking with Kokkos was crucial. One part provides resilience against delays and ensures that there is always work ready. The other part makes that execution ...

The previous article in this issue dealt with the general principles of Dynamic Programming. In this article Professor Lindley shows how Dynamic Programming links up with certain decision problems in ...