The world today is marked by paradox. Never before has humanity possessed such extraordinary scientific knowledge, ...

The South Asia Gateway Terminal (SAGT) represents Sri Lanka’s first large-scale, durable, and demonstrably successful ...

Abstract: Nonlinear equation systems are ubiquitous in a variety of fields, and how to tackle them has drawn much attention, especially dynamic ones. As a particular class of recurrent neural network, ...

NonlinearSystems.jl is a Julia package for solving nonlinear systems of equations and nonlinear least squares. It renovates well-trusted solution algorithms with highly performant and extensible ...

A frequently encountered category of analog system component is the precision current source. Many good designs are available, but concise and simple arithmetic for choosing the component values ...

Abstract: Compared with conventional dynamic nonlinear equation systems, a hybrid double-deck dynamic nonlinear equation system (H3DNES) not only has multiple layers describing more different tasks in ...

Nonlinear problems, originating from applied science that is closely related to practices, contain rich and extensive content. It makes the corresponding nonlinear models also complex and diverse. Due ...

Scientists have discovered a way to use live tissue as a computational reservoir to solve problems and potentially predict chaotic systems like the weather. When you purchase through links on our site ...

Polynomial equations are a cornerstone of modern science, providing a mathematical basis for celestial mechanics, computer graphics, market growth predictions and much more. But although most high ...

As capable as artificial intelligence (AI) deep learning algorithms have become, the human brain still vastly outperforms silicon-based neural networks when it comes to energy efficiency. In efforts ...