Given a neural network, training data, and a threshold, finding weights for the neural network such that the total error is below the threshold is known to be NP-hard. We determine the …
We study algorithmic problems that belong to the complexity class of the existential theory of the reals (∃R). A problem is\ensuremath ∃\mathbbR-complete if it is as hard as the …
M Abrahamsen - 2021 IEEE 62nd Annual Symposium on …, 2022 - ieeexplore.ieee.org
In the Minimum Convex Cover (MCC) problem, we are given a simple polygon P and an integer k, and the question is if there exist k convex polygons whose union is P. It is known …
We investigate the computational complexity of computing the Hausdorff distance. Specifically, we show that the decision problem of whether the Hausdorff distance of two …
The aim in packing problems is to decide if a given set of pieces can be placed inside a given container. A packing problem is defined by the types of pieces and containers to be …
T Miltzow, RF Schmiermann - TheoretiCS, 2024 - theoretics.episciences.org
A continuous constraint satisfaction problem (CCSP) is a constraint satisfaction problem (CSP) with the real numbers as domain. We engage in a systematic study to classify CCSPs …
We survey the complexity class $\exists\mathbb {R} $, which captures the complexity of deciding the existential theory of the reals. The class $\exists\mathbb {R} $ has roots in two …
We show that the decision problem of determining whether a given (abstract simplicial)- complex has a geometric embedding in is complete for the Existential Theory of the Reals …
We study the problem of finding an exact solution to the Consensus Halving problem. While recent work has shown that the approximate version of this problem is PPA-complete …