activity
20162022
most citedAn Algorithmic Method of Partial Derivatives

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

collaborators

7 papers

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…

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.DS20201 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

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…