This repository contains a comprehensive mathematical analysis of package dependencies in an Arch Linux system with 1,553 installed packages. Using advanced techniques from graph theory, spectral ...

A high-performance Python package implementing the Quasi-Steady State (QSS) method for solving stiff ordinary differential equations, with particular focus on combustion chemistry applications. This ...

ABSTRACT: In this paper, we consider the model updating problem of the undamped vibroacoustic system with no spill-over (MUP-UVA), which is to update the original system to a new system such that some ...

One of the fundamental operations in machine learning is computing the inverse of a square matrix. But not all matrices have an inverse. The most common way to check if a matrix has an inverse or not ...

Abstract: Shale is a critical hydrocarbon reservoir generally considered a typical transverse isotropy with a vertical axis of symmetry vertical transverse isotropic (VTI) media. Petrophysical ...

We'll look at why it's useful to split the body being analysed into small elements and the different elements types that can be used. We'll also cover the key concept behind the finite element method, ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Osteoarthritis (OA), the most prevalent joint disorder associated with aging, is characterized by impaired extracellular matrix (ECM) synthesis and the degradation of articular cartilage. It is ...

In the quest to transform organizations, leaders often champion bold visions: compelling declarations of a better future. Yet many of these dreams fizzle away. Why? Because they fail to bridge the ...