activity
20052023
most citedUnifying time evolution and optimization with matrix product states

815 citations · 1.4k across the 35 of their papers we have counts for

collaborators
Showing 2020 · math.NAShow all

6 papers · 2 filters

math.NA2020

An unconventional robust integrator for dynamical low-rank approximation

Gianluca Ceruti, Christian Lubich

We propose and analyse a numerical integrator that computes a low-rank approximation to large time-dependent matrices that are either given explicitly via their increments or are t…

math.NA2020

Finding the nearest passive or non-passive system via Hamiltonian eigenvalue optimization

Antonio Fazzi, Nicola Guglielmi, Christian Lubich

We propose and study an algorithm for computing a nearest passive system to a given non-passive linear time-invariant system (with much freedom in the choice of the metric defining…

math.NA2020

A convergent evolving finite element algorithm for Willmore flow of closed surfaces

Balázs Kovács, Buyang Li, Christian Lubich

A proof of convergence is given for a novel evolving surface finite element semi-discretization of Willmore flow of closed two-dimensional surfaces, and also of surface diffusion f…

math.NA2020

Time-dependent acoustic scattering from generalized impedance boundary conditions via boundary elements and convolution quadrature

Lehel Banjai, Christian Lubich, Joerg Nick

Generalized impedance boundary conditions are effective, approximate boundary conditions that describe scattering of waves in situations where the wave interaction with the materia…

math.NA2020★ 93 cited

Computing quantum dynamics in the semiclassical regime

Caroline Lasser, Christian Lubich

The semiclassically scaled time-dependent multi-particle Schrödinger equation describes, inter alia, quantum dynamics of nuclei in a molecule. It poses the combined computational c…

math.NA2020

Time integration of tree tensor networks

Gianluca Ceruti, Christian Lubich, Hanna Walach

Dynamical low-rank approximation by tree tensor networks is studied for the data-sparse approximation to large time-dependent data tensors and unknown solutions of tensor different…