Finding a largest empty convex subset in space is W[1]-hard
Panos Giannopoulos, Christian Knauer

TL;DR
This paper proves that finding the largest empty convex subset in space is computationally hard (W[1]-hard), indicating significant complexity in solving this geometric problem efficiently.
Contribution
The paper establishes the W[1]-hardness of the decision problem for finding the largest empty convex subset in three-dimensional space.
Findings
Proves the problem is W[1]-hard in computational complexity.
Highlights the difficulty of efficiently solving the problem in general cases.
Provides a complexity classification for a geometric problem.
Abstract
We consider the following problem: Given a point set in space find a largest subset that is in convex position and whose convex hull is empty. We show that the (decision version of the) problem is W[1]-hard.
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Advanced Graph Theory Research · Complexity and Algorithms in Graphs
