Ordinary Differential Equations (ODEs) - Fixed-step and adaptive solvers with comprehensive features including event detection, dense output, and customizable and common recipes for solution output.

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

Abstract: This study investigates the critical issue of groundwater pollution, with a specific focus on the escalating degradation of aquifers in India. Projections indicate that approximately 60% of ...

Abstract: Zeroing neural networks (ZNNs) play a crucial role in efficiently solving time-varying problems. Recently, ZNNs are integrated with many advanced control theories with a certain convergence ...

Discover how this powerful open-source SPICE simulator helps you analyse and validate analog, digital and mixed-signal ...

Leevan Ling and Manfred R Trummer. Adaptive multiquadric collocation for boundary layer problems. Journal of Computational and Applied Mathematics, 188(2):265–282, 2006. Richard Baltensperger and ...

Most courses in the department fall into one or more of the following categories. Please choose the appropriate category and then the appropriate course, where you will find some or all of the ...