Discretization algorithms serve as a critical pre-processing step within data mining and machine learning, transforming continuous attributes into discrete categories to enhance the interpretability ...

A number of finite element discretization techniques based on two (or more) subspaces for nonlinear elliptic partial differential equations (PDEs) is presented. Convergence estimates are derived to ...

My background is in Mathematics with focus on some geometrical and computational aspects. My interests lie within all sorts of numerical methods and discretization techniques for Scientific Computing.