Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...

Internationally renowned (6th in the UK, QS World University Rankings by Subject 2024: Mathematics), UCL Mathematics is home to world-leading researchers in a wide range of fields, especially geometry ...

This study proposes an adaptive differential evolution algorithm with ... The primary purpose of building the battery model is to obtain the mathematical relationship between the internal parameters ...

No description, website, or topics provided.

Notice, however, that Equation (3) is an asymptotic characterization ... 765579-ConFlex, the Grant ICON-ANR-16-ACHN-0014 of the French ANR and the Transregio 154 Project Mathematical Modelling, ...

The study of wave phenomena by means of mathematical models often leads to a certain class of nonlinear partial differential equations referred to as integrable systems. My main area of research deals ...

Numerical analysis for partial differential equations Model reduction for parametrized partial differential equations Machine Learning and Scientific Computing ...

Recurrent spiking networks that process input stimuli with optimal efficiency have key emerging properties that are similar to those of biological neural networks.