A New Paradigm For Partial Differential Equations With Machine Learning

These tasks are modelled on a system of very famous mathematical equations -- partial differential equations (PDE). PDEs are the class of equations which describe everything smooth and continuous in the physical world, and the most common class of simulation problems in science and engineering. Solving computation hungry PDEs takes a toll even on supercomputers. And, we just can't tweak in the hardware (shrink transistors) for reducing the time consumed, a theory complemented by Moore's law. However, there is still a glimmer of hope.