activity
20202024
most citedBiqBin: a parallel branch-and-bound solver for binary quadratic problems with linear constraints

20 citations · 28 across the 6 of their papers we have counts for

collaborators

6 papers

math.OC2024

Connectivity via convexity: Bounds on the edge expansion in graphs

Timotej Hrga, Melanie Siebenhofer, Angelika Wiegele

Convexification techniques have gained increasing interest over the past decades. In this work, we apply a recently developed convexification technique for fractional programs by H…

math.OC2024★ 2 cited

Spanning and Splitting: Integer Semidefinite Programming for the Quadratic Minimum Spanning Tree Problem

Frank de Meijer, Melanie Siebenhofer, Renata Sotirov +1

In the quadratic minimum spanning tree problem (QMSTP) one wants to find the minimizer of a quadratic function over all possible spanning trees of a graph. We present a formulation…

math.OC2024

Edge expansion of a graph: SDP-based computational strategies

Akshay Gupte, Melanie Siebenhofer, Angelika Wiegele

Computing the edge expansion of a graph is a famously hard combinatorial problem for which there have been many approximation studies. We present two variants of exact algorithms u…

math.CO2021

Sum-of-Squares Certificates for Vizing's Conjecture via Determining Gröbner Bases

Elisabeth Gaar, Melanie Siebenhofer

The famous open Vizing conjecture claims that the domination number of the Cartesian product graph of two graphs and is at least the product of the domination numbers of $G…

math.OC2021★ 6 cited

An SDP-Based Approach for Computing the Stability Number of a Graph

Elisabeth Gaar, Melanie Siebenhofer, Angelika Wiegele

Finding the stability number of a graph, i.e., the maximum number of vertices of which no two are adjacent, is a well known NP-hard combinatorial optimization problem. Since this p…

math.OC2020★ 20 cited

BiqBin: a parallel branch-and-bound solver for binary quadratic problems with linear constraints

Nicolò Gusmeroli, Timotej Hrga, Borut Lužar +3

We present BiqBin, an exact solver for linearly constrained binary quadratic problems. Our approach is based on an exact penalty method to first efficiently transform the original…