New soliton solutions to the NLSE with parabolic nonlinearity are being explored, featuring conservation laws and pulse ...

Scientists at the Institute for Photonic Quantum Systems (PhoQS) and the Paderborn Center for Parallel Computing (PC2) at ...

When the nonlinear parameters are set to zero, the MJS becomes a Markov jump linear system (MJLS) and, in the second part of the article, it is shown that the obtained filter gains derived from a set ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Researchers from East China Normal University have developed a novel PV power prediction model for scenarios with considerable fluctuations. Dubbed CRAK, the new hybrid deep learning model ...

What does ‘nonlinear aging’ look like? Scientists have long suspected that aging may happen in bursts, but they only began using molecular signals to measure the pace of aging in the past ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

We present a general framework for the rigorous numerical analysis of time-fractional nonlinear parabolic partial differential equations, with a fractional derivative of order α ϵ (0, 1) in time. It ...

The prescribed-time semi-global control for a class of time-varying uncertain systems under a nonlinear growth condition is achieved via linear time-varying feedback. The involved nonlinear ...