activity
20162026
most citedGibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution

35 citations · 180 across the 39 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

math.NA2018

A low-rank tensor method for PDE-constrained optimization with isogeometric analysis

Alexandra Bünger, Sergey Dolgov, Martin Stoll

Isogeometric analysis (IGA) has become one of the most popular methods for the discretization of partial differential equations motivated by the use of NURBS for geometric represen…

math.OC2018★ 2 cited

On the existence and uniqueness of the solution of a parabolic optimal control problem with uncertain inputs

Peter Benner, Akwum Onwunta, Martin Stoll

In this note, we consider the existence and uniqueness of the solution of a time-dependent optimal control problem constrained by a partial differential equation with uncertain inp…

cs.SI2018★ 1 cited

Node Classification for Signed Social Networks Using Diffuse Interface Methods

Pedro Mercado, Jessica Bosch, Martin Stoll

Signed networks contain both positive and negative kinds of interactions like friendship and enmity. The task of node classification in non-signed graphs has proven to be beneficia…

cs.LG2018★ 12 cited

NFFT meets Krylov methods: Fast matrix-vector products for the graph Laplacian of fully connected networks

Dominik Alfke, Daniel Potts, Martin Stoll +1

The graph Laplacian is a standard tool in data science, machine learning, and image processing. The corresponding matrix inherits the complex structure of the underlying network an…

math.NA2018★ 9 cited

Efficient Numerical Methods for Gas Network Modeling and Simulation

Yue Qiu, Sara Grundel, Martin Stoll +1

We study the modeling and simulation of gas pipeline networks, with a focus on fast numerical methods for the simulation of transient dynamics. The obtained mathematical model of t…

math.NA2018

Fast iterative solvers for an optimal transport problem

Roland Herzog, John W. Pearson, Martin Stoll

Optimal transport problems pose many challenges when considering their numerical treatment. We investigate the solution of a PDE-constrained optimisation problem subject to a parti…