Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

This collection of Julia functions is an attemp to implement high performance numerical software to solve several classes of Lyapunov, Sylvester and Riccati matrix equations at a performance level ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Matrix structures don’t work on their own. The work is less about control and more about integration, often without formal ...

These are my go-to libraries for Python data crunching.

A newly described sauropod dinosaur from Thailand stretched an estimated 27 meters long and carried a body mass of roughly 27 ...

Abstract: In this article, time-varying matrix equation problems, including the Lyapunov equation, matrix inversion, and generalized matrix inversion are investigated in a future (or say, discrete ...

Moving from isolated, technical data to a continuous risk lifecycle can help organizations align security controls with actual business consequences.

Abstract: Image reconstruction in magnetic particle imaging (MPI) is done using an algebraic approach for Lissajous-type measurement sequences. By solving a large linear system of equations, the ...

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Dylan Kane likes his math curriculum. But there’s one important piece missing, he says. The 7th grade math teacher in Leadville, Colo., uses a program that teaches math skills through real-world ...

We treated qubits, the basic units of quantum computers, as tiny spacetime cells. Using imprint and retrieval protocols based on the QMM equations, we recovered the original quantum states with over ...