Variational Monte Carlo approach to partial differential equations with neural networks
Variational Monte Carlo approach to partial differential equations with neural networks
The accurate numerical solution of partial differential equations is a central task in numerical analysis allowing to model a wide range of natural phenomena by employing specialized solvers depending on the scenario of application. Here, we develop a variational approach for solving partial differential equations governing the evolution of high …