We propose multi-layer hierarchically semiseparable(MHS)structures for the efficient factorizations of dense matrices arising from high dimensional discreti
In this talk,based on an algorithm proposed by Ng,Qi and Zhou for finding the spectral radius of nonneagtive irreducible tensor,we present a method to solve
We consider a stochastic linear quadratic regulator(SLQR)control problem on Hilbert spaces.For a well-posed SLQR problem,the optimal control is given in ter
During the last years,tensor format representation techniques were successfully applied to the solution of high-dimensional problems like stochastic and par
Approximations of stochastic and multi-parametric differential equations may lead to extremely high dimensional problems that suffer from the so called curs
In this talk,we discuss low-rank tensor techniques for the solution of parameter-dependent PDEs.In particular,our aim is to adaptively construct approximati
Some stochastic models are considered including the two dimensional Navier-Stokes equation in a perforated domain with a dynamical slip boundary condition.