AINeutralarXiv – CS AI · Mar 34/103
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Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity
Researchers have extended the CNF framework to solve multi-variable and non-linear partial differential equations, addressing computational challenges in scientific simulations. The work focuses on improving PDE solvers for forward solutions, inverse problems, and equation discovery with self-tuning techniques and benchmark evaluations.