Artificial Intelligence, Mathematics, Neural Networks, Differential Equations, Machine Learning.
transformations. The usual way to approximate the solution of a differential equation is to use finite-element discretization, i.e., to interpolate it with a set of piecewise linear functions. In a weak form the task is equivalent to solving a system of linear equations on interpolation