activity
20122018
most citedContainment Problems for Projections of Polyhedra and Spectrahedra

5 citations · 9 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2018

Irreducible infeasible subsystems of semidefinite systems

Kai Kellner, Marc E. Pfetsch, Thorsten Theobald

Farkas' lemma for semidefinite programming characterizes semidefinite feasibility of linear matrix pencils in terms of an alternative spectrahedron. In the well-studied special cas…

math.OC2016

A Semidefinite Hierarchy for Disjointly Constrained Multilinear Programming

Kai Kellner

Disjointly constrained multilinear programming concerns the problem of maximizing a multilinear function on the product of finitely many disjoint polyhedra. While maximizing a line…

math.OC2015★ 5 cited

Containment Problems for Projections of Polyhedra and Spectrahedra

Kai Kellner

Spectrahedra are affine sections of the cone of positive semidefinite matrices which form a rich class of convex bodies that properly contains that of polyhedra. While the class of…

math.CO2014★ 2 cited

Sum of Squares Certificates for Containment of -polytopes in -polytopes

Kai Kellner, Thorsten Theobald

Given an -polytope and a -polytope , the decision problem whether is contained in is co-NP-complete. This hardness remains if is restri…

math.OC2013

A Semidefinite Hierarchy for Containment of Spectrahedra

Kai Kellner, Thorsten Theobald, Christian Trabandt

A spectrahedron is the positivity region of a linear matrix pencil and thus the feasible set of a semidefinite program. We propose and study a hierarchy of sufficient semidefinite…

math.OC2012★ 2 cited

Containment problems for polytopes and spectrahedra

Kai Kellner, Thorsten Theobald, Christian Trabandt

We study the computational question whether a given polytope or spectrahedron (as given by the positive semidefiniteness region of a linear matrix pencil ) is contained…