Abstract: This paper introduces neuroevolution for solving differential equations. The solution is obtained through optimizing a deep neural network whose loss function is defined by the residual ...

Toronto’s skyline has long been defined by its icons — the CN Tower’s needle of light, the gentle curve of the Rogers Centre’s dome — but soon, a new constellation will join that visual conversation: ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...