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 ...
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...
The PIML4PDE framework is designed to solve Partial Differential Equations (PDEs) using Physics-Informed Machine Learning (PIML). This framework is intended for educational purposes, demonstrating ...
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 ...
Abstract: The differential analyzer was a prewar form of mechanical computer designed to solve non-linear differential equations. A team at Cambridge University has now built an online digital ...
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