activity
20202023
most citedDynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

math.NA2023★ 1 cited

Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

We consider dynamical low-rank approximations to parabolic problems on higher-order tensor manifolds in Hilbert spaces. In addition to existence of solutions and their stability wi…

math.AG2022

The Geometries of Jordan nets and Jordan webs

Arthur Bik, Henrik Eisenmann

A Jordan net (resp. web) is an embedding of a unital Jordan algebra of dimension (resp. ) into the space of symmetric matrices. We study the geome…

math.AG2021

Maximum relative distance between real rank-two and rank-one tensors

Henrik Eisenmann, André Uschmajew

It is shown that the relative distance in Frobenius norm of a real symmetric order- tensor of rank two to its best rank-one approximation is upper bounded by $\sqrt{1-(1-1/d)^{d…

math.OC2021

Riemannian thresholding methods for row-sparse and low-rank matrix recovery

Henrik Eisenmann, Felix Krahmer, Max Pfeffer +1

In this paper, we present modifications of the iterative hard thresholding (IHT) method for recovery of jointly row-sparse and low-rank matrices. In particular a Riemannian version…

math.RA2020

Jordan Algebras of Symmetric Matrices

Arthur Bik, Henrik Eisenmann, Bernd Sturmfels

We study linear spaces of symmetric matrices whose reciprocal is also a linear space. These are Jordan algebras. We classify such algebras in low dimensions, and we study the assoc…

math.NA2020

Solving two-parameter eigenvalue problems using an alternating method

Henrik Eisenmann, Yuji Nakatsukasa

We present a new approach to compute selected eigenvalues and eigenvectors of the two-parameter eigenvalue problem. Our method requires computing generalized eigenvalue problems of…