Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity

arXiv:2602.07970v3 Announce Type: replace-cross Abstract: Partial Differential Equations are precise in modelling the physical, biological and graphical phenomena. However, the numerical methods suffer from the curse of dimensionality, high computation costs and domain-specifi...

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