Abstract: Systems of nonlinear equations are known as the basis for many models of engineering and data science, and their accurate solutions are very critical in achieving progress in these fields.

Abstract: The expectation maximization (EM) algorithm has been extensively used to solve system identification problems with hidden variables. It needs to calculate a derivative equation and perform a ...

If you cannot compile the MEX file, you'll be limited to N=31 Fourier modes in each spatial direction. Now cd .. to come back to the root folder of the adcell project.

The dream of creating game-changing quantum computers—supermachines that encode information in single atoms rather than ...

Multi-agent collaboration represents a transformational shift from building smarter models to building smarter networks. It’s ...

For many, it's been years since they've sat in a classroom while a teacher tested their arithmetic skills. Internet users are now racking their brains to remember how to solve elementary school ...

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George Stokes. It has proved its worth for modelling incompressible fluids in ...

It's a well-known fact that quantum calculations are difficult, but one would think that quantum computers would facilitate the process. In most cases, this is true.

Google first introduced this educational Doodle in the US in September and has since expanded it to multiple countries, ...

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...