Abstract: Structural identifiability is a property of a differential model with parameters that allows for the parameters to be determined from the model equations in the absence of noise. The method ...

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 ...

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

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

Abstract: Nonlinear feedback design via state-dependent Riccati equations is well established but unfeasible for large-scale systems because of computational costs. If the system can be embedded in ...

Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...

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

In this video, we provide essential "math help" by explaining how to "solve" a "system of equations" using the "substitution method". This "math tutorial" will walk you through multiple examples, ...

Quantum computers can outperform their classical counterparts at some tasks, but the full scope of their power is unclear. A new quantum algorithm hints at the possibility of far-reaching applications ...

How can you have a proof without proving anything? Mathematicians found a way and, in the process, came to blows over it – ...

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Contributed by J.M. Kosterlitz; received July 1, 2022; accepted October 31, 2022; reviewed by Tapio Ala-Nissila, Ken Elder, and Martin Grant. This paper extends our earlier work where a potential ...