The Dreck Equation reveals the hidden layers of federal regulation—guidance, grants, contracts, antitrust, PPPs, IoT ...

Since its development 100 years ago, quantum mechanics has revolutionized our understanding of nature, revealing a bizarre ...

This paper establishes a connection between non-convex optimization and nonlinear partial differential equations (PDEs). We interpret empirically successful relaxation techniques motivated from ...

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

Quantum mechanics has a reputation that precedes it. Virtually everyone who has bumped up against the quantum realm, whether ...

What if the way out of depression isn’t doing more, but doing less, on purpose? Learn how small, quiet steps can help you ...

Bernoulli's equation is a simple but incredibly important equation in physics and engineering that can help us understand a ...

Learning data-driven discretizations for partial differential equations Code associated with the paper: Learning data-driven discretizations for partial differential equations. Yohai Bar-Sinai, ...

Clairon and A. Samson, Optimal control for estimation in partially observed elliptic and hypoelliptic linear stochastic differential equations, Statistical Inference for Stochastic Processes (Springer ...

Article citations More>> Brand, L. (1966) Differential and Difference Equations. John Wiley & Sons, Inc. has been cited by the following article: TITLE: Fano Load Redux: CFO with Negative Gravity ...

Python Implementation of Ordinary Differential Equations Solvers using Hybrid Physics-informed Neural Networks This repository is provided as a tutorial for the implementation of integration ...

For dissipative partial differential equations the Lumer-Phillips generation theorem characterizes solvability and also boundedness of the associated semigroup. An extension of the Lumer-Phillips ...