The oldest stochastic approximation method is the Robbins—Monro process. This estimates an unknown scalar parameter by stepping from one trial value for the parameter to another, adopting the last ...

Dynamical low-rank approximation (DLRA) methods have emerged as a powerful numerical framework for addressing the challenges posed by high-dimensional problems. By restricting the evolution of a ...