activity
20182022
collaborators

7 papers

cs.DS2022

A Structural Investigation of the Approximability of Polynomial-Time Problems

Karl Bringmann, Alejandro Cassis, Nick Fischer +1

We initiate the systematic study of a recently introduced polynomial-time analogue of MaxSNP, which includes a large number of well-studied problems (including Nearest and Furthest…

cs.DS2021

Deterministic and Las Vegas Algorithms for Sparse Nonnegative Convolution

Karl Bringmann, Nick Fischer, Vasileios Nakos

Computing the convolution of two length- integer vectors is a core problem in several disciplines. It frequently comes up in algorithms for Knapsack, -SUM, A…

cs.DS2021

Fine-Grained Completeness for Optimization in P

Karl Bringmann, Alejandro Cassis, Nick Fischer +1

We initiate the study of fine-grained completeness theorems for exact and approximate optimization in the polynomial-time regime. Inspired by the first completeness results for dec…

cs.DS2021

Sparse Nonnegative Convolution Is Equivalent to Dense Nonnegative Convolution

Karl Bringmann, Nick Fischer, Vasileios Nakos

Computing the convolution of two length- vectors is an ubiquitous computational primitive. Applications range from string problems to Knapsack-type problems, an…

cs.DS2020

Faster Minimization of Tardy Processing Time on a Single Machine

Karl Bringmann, Nick Fischer, Danny Hermelin +2

This paper is concerned with the problem, the problem of minimizing the total processing time of tardy jobs on a single machine. This is not only a fundamental sch…

cs.CC2020

The Computational Complexity of Plethysm Coefficients

Nick Fischer, Christian Ikenmeyer

In two papers, Bürgisser and Ikenmeyer (STOC 2011, STOC 2013) used an adaption of the geometric complexity theory (GCT) approach by Mulmuley and Sohoni (Siam J Comput 2001, 2008) t…