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.

• Preprint on arXiv

Algorithm scheme	Approximate Laplace inversion