In this project, a computational framework for modeling infectious disease dynamics is developed using the classical Susceptible–Infectious–Recovered (SIR) model implemented in MATLAB. The system is ...
Abstract. Efficiently solving nonlinear equations underpins numerous scientific and engineering disciplines, yet scaling these solutions for complex system models remains a challenge. This paper ...
M-M.E.S.S. provides low-rank solvers for large-scale symmetric matrix equations with sparse or sparse + low-rank coefficients. The main focus is on differential and algebraic Riccati equations ...
- Software Engineer - CEO, Lucre (getlucre.xyz - Bitcoin payment infrastructure). Disclaimer: This article aims to clarify that the code provided is not a universal solution for all aspects of ...
Abstract: Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be solved in a variety of ways. However, hardware circuits that can perform the efficient analog ...
Ordinary differential equations are a ubiquitous tool for modeling behaviors in science, such as gene regulation, biological rhythms, epidemics, and ecology. An important problem is to infer and ...
The last five years marked a surge in interest for and use of smart robots, which operate in dynamic and unstructured environments and might interact with humans. We posit that well-validated computer ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results