One useful feature of the Python math module is quick access to mathematical constants. You can make Python more effective as a scientific calculator by using these same functions with numerical ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

Natural selection uses duplicated genes as raw material for functional innovation, co-opting their existing features to new functions. Understanding genetic innovation requires two questions to be ...

Abstract: In this paper, we consider a dynamical system whose trajectory is a result of minimizing a multiphase cost function. The multiphase cost function is assumed to be a weighted sum of specified ...

Can you chip in? The Internet Archive is introducing peer-to-peer (P2P) fundraising —a giving platform that allows individual supporters to host personalized campaigns to fundraise for the Internet ...

Any printer can, of course, print. But only an all-in-one (AIO) printer can push off your old fax machine, copier, and scanner to the great recycler in the sky. These do-it-alls range from compact ...

Abstract: In robotics field, safety is an extensively researched subject. This article proposes an approach, which is based on high-order control barrier functions (HOCBFs) and computed torque control ...

The various types of special functions have become essential tools for scientists and engineers. One of the important classes of special functions is of the hypergeometric type. It includes all ...

Code for the thesis "Inverse Reinforcement Learning (IRL) with Diffusion Models". This repository contains the implementation of diffusion models for solving IRL tasks by learning reward functions ...

Written by production economics and finance specialists Rolf Färe and Shawna Grosskopf of Oregon State University and Dimitris Margaritis of the University of Auckland, Pricing Non-marketed Goods ...

What began with a focus on weather forecasting has evolved toward addressing errors in scientific modeling. In the collaborative environment of the Penn State Institute for Computational and Data ...