Operator Splitting Methods: A Probability-Oriented Introduction

Operator splitting methods provide a framework for decomposing and approximating complex dynamical systems by representing them as a sum of simpler components. This survey introduces the basic concepts and results of operator splitting methods, with a focus on their applications in probability theory.