Time integration of tensor trains


Dynamical low-rank approximation is an efficient framework for solving continious and discrete-time problems in high-dimensions. Using the Dirac-Frenkel principle applied to the tensor-train format, we have propose a robust and efficient time integrator for the resulting system of nonlinear equations.

Algorithm scheme Approximate Laplace inversion


26/05/2016 A TT-eigenvalue solver that finally works
12/05/2016 Exponential machines and tensor trains
06/04/2016 Convergence analysis of a projected fixed-point iteration
30/03/2016 Compress-and-eliminate solver for sparse matrices
01/12/2015 New paper in SIMAX


We are located at the 2-nd floor of the new "Technopark-3” building in Skolkovo (few kilometers outside Moscow Ring Road). The building is accessible from Skolkovo Road (Сколковское шоссе) and Minskoe Highway (Минское шоссе).