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

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

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

Partial differential equations (PDEs) are a class of mathematical problems that represent the interplay of multiple variables, and therefore have predictive power when it comes to complex physical ...

About Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Waveguide-based structures can solve partial differential equations by mimicking elements in standard electronic circuits. This novel approach, developed by researchers at Newcastle University in the ...

Framework for solving parabolic partial differential equations could guide computer graphics and geometry processing by Alex Shipps, Massachusetts Institute of Technology Editors' notes ...

Whether it's physical phenomena, share prices or climate models—many dynamic processes in our world can be described mathematically with the aid of partial differential equations. Thanks to ...

Some equations are beautiful because they reveal unexpected relationships between different subjects. The Loewner differential equation, introduced by Charles Loewner in 1923, describes the time ...

Understanding the Finite-Difference Method (FDM) The finite-difference method is the most direct approach to discretizing partial differential equations.

The book Applied Stochastic Differential Equations gives a gentle introduction to stochastic differential equations (SDEs). The low learning curve only assumes prior knowledge of ordinary differential ...