International Journal of Modeling, Simulation, and Scientific Computing Vol. 01, No. 01, pp. 117-132 (2010) Research Papers No Access ...

A high-precision numerical adaptive method of integration of the systems of linear differential equations with time-varying coefficients is presented in the paper. The adaptability of the method lies ...

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 ...