Matrix solving is a crucial aspect of linear algebra and plays a major role in fields like engineering, physics, and finance. This project presents an opportunity to gain a deeper understanding of ...

In conclusion, this research offers valuable insights into the comparative performance of Python, MATLAB, and Scilab in solving nonlinear systems of equations. It underscores the importance of ...

Computational Grids are widely emerging and dramatically influencing scientific computing practice. In this paper, we presents the use of a problem solving environment - the GridPSi to automatically ...

We discuss solvers for Sylvester, Lyapunov, and Stein equations that are available in the SLICOT Library (Subroutine Library In COntrol Theory). These solvers offer improved efficiency, reliability, ...

In this paper, the authors demonstrate the route used for solving differential equations for the engineering applications at UAEU. Usually students at the Engineering Requirements Unit (ERU) stage ...