Sparse methods are primarily valuable for systems in which the number of non-zero entries is substantially less than the overall size of the matrix. Such situations are common in physical systems, ...

Abstract: This paper presents a novel hardware approach for solving systems of linear equations by leveraging in-memory computing (IMC) with memristive crossbar arrays. Unlike conventional ...

This project is about using Physics Informed Neural Networks (PINN) to solve unsteady turbulent flows using the Navier-Stokes equations. Specifically, given sparse observations (in this case, a mere 0 ...

Abstract: This letter synthesizes a gain-scheduled controller to stabilize all possible Linear Parameter-Varying (LPV) plants that are consistent with measured input/state data records. Inspired by ...

Collaboration feels like a human challenge but behaves like a system. Systems thinking resolves this paradox by revealing how ...

The coordinates of the turning point and the equation of the line of symmetry can be found by writing the quadratic expression in completed square form. Find the equation of the line of symmetry and ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

According to Newtonian physics, the gravitational attraction between two masses is proportional to the inverse of the square ...

Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Piazza d’Armi, 09123 Cagliari, Italy ...