Abstract: During the past two decades, many evolutionary algorithms have been proposed to solve nonlinear equation systems (NESs). However, the benchmark test sets have not received enough attention.
Abstract: The effective solution of system of nonlinear equations (SNEs) is crucial for the creation of engineering and scientific models. SNEs can be represented and analyzed as an optimization ...
This repository allows you to solve forward and inverse problems related to partial differential equations (PDEs) using finite basis physics-informed neural networks (FBPINNs). To improve the ...
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