Absolute value equations (AVEs), characterised by the inclusion of absolute value functions in the variables, present inherently non‐smooth and computationally challenging problems that are ...

Physics Informed Neural Networks (PINNs) have gained significant popularity for solving partial differential equations (PDEs) due to their powerful modeling capabilities. However, their application to ...

Coupled with boundary value problems, these equations provide a powerful tool for modelling phenomena in physics, engineering, and finance where conditions are prescribed at the boundaries of a ...

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