activity
20162023
most citedAn Algorithmic Method of Partial Derivatives

1 citations · 2 across the 9 of their papers we have counts for

collaborators

12 papers

cs.CC2023

Counting Vanishing Matrix-Vector Products

Cornelius Brand, Viktoriia Korchemna, Michael Skotnica +1

Consider the following parameterized counting variation of the classic subset sum problem, which arises notably in the context of higher homotopy groups of topological spaces: Let…

cs.CG2023

Fixed-Parameter Algorithms for Computing RAC Drawings of Graphs

Cornelius Brand, Robert Ganian, Sebastian Röder +1

In a right-angle crossing (RAC) drawing of a graph, each edge is represented as a polyline and edge crossings must occur at an angle of exactly , where the number of bend…

cs.CC2023

A Parameterized Theory of PAC Learning

Cornelius Brand, Robert Ganian, Kirill Simonov

Probably Approximately Correct (i.e., PAC) learning is a core concept of sample complexity theory, and efficient PAC learnability is often seen as a natural counterpart to the clas…

cs.DS2022

Edge-Cut Width: An Algorithmically Driven Analogue of Treewidth Based on Edge Cuts

Cornelius Brand, Esra Ceylan, Christian Hatschka +2

Decompositional parameters such as treewidth are commonly used to obtain fixed-parameter algorithms for NP-hard graph problems. For problems that are W[1]-hard parameterized by tre…

cs.DM2021

Sometimes, Convex Separable Optimization Is Much Harder than Linear Optimization, and Other Surprises

Cornelius Brand, Martin Koutecký, Alexandra Lassota +1

An influential 1990 paper of Hochbaum and Shanthikumar made it common wisdom that "convex separable optimization is not much harder than linear optimization" [JACM 1990]. We exhibi…

math.OC2020

A Note on the Approximability of Deepest-Descent Circuit Steps

Steffen Borgwardt, Cornelius Brand, Andreas Emil Feldmann +1

Linear programs (LPs) can be solved by polynomially many moves along the circuit direction improving the objective the most, so-called deepest-descent steps (dd-steps). Computing t…

cs.DS2020★ 1 cited

An Algorithmic Method of Partial Derivatives

Cornelius Brand, Kevin Pratt

We study the following problem and its applications: given a homogeneous degree- polynomial as an arithmetic circuit, and a matrix whose entries are homogen…

cs.DS2019

Parameterized Algorithms for MILPs with Small Treedepth

Cornelius Brand, Martin Koutecký, Sebastian Ordyniak

Solving (mixed) integer linear programs, (M)ILPs for short, is a fundamental optimization task. While hard in general, recent years have brought about vast progress for solving str…

cs.DS2018

Extensor-Coding

Cornelius Brand, Holger Dell, Thore Husfeldt

We devise an algorithm that approximately computes the number of paths of length in a given directed graph with vertices up to a multiplicative error of …

cs.CC2016

Parameterized counting of trees, forests and matroid bases

Cornelius Brand, Marc Roth

We investigate the complexity of counting trees, forests and bases of matroids from a parameterized point of view. It turns out that the problems of computing the number of trees a…

cs.CC2016

Fine-grained dichotomies for the Tutte plane and Boolean #CSP

Cornelius Brand, Holger Dell, Marc Roth

Jaeger, Vertigan, and Welsh [15] proved a dichotomy for the complexity of evaluating the Tutte polynomial at fixed points: The evaluation is #P-hard almost everywhere, and the rema…

cs.SC2016★ 1 cited

On the Complexity of Solving Zero-Dimensional Polynomial Systems via Projection

Cornelius Brand, Michael Sagraloff

Given a zero-dimensional polynomial system consisting of n integer polynomials in n variables, we propose a certified and complete method to compute all complex solutions of the sy…