Central Triangulation under Parallel Flip Operations: The CG:SHOP Challenge 2026

📅 2026-03-19
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🤖 AI Summary
This work formalizes and investigates the centrality problem in triangulations: given a set of input triangulations, it seeks a central triangulation that minimizes the sum of parallel flip distances to all inputs. As an NP-hard problem and the core challenge of the CG:SHOP 2026 algorithm competition, it is addressed through an integrated approach combining computational geometry, graph-theoretic modeling, and combinatorial optimization. Leveraging structural properties of parallel flips, the study designs efficient search and approximation algorithms. This paper presents the first systematic formulation of the problem, fostering interdisciplinary connections between discrete geometry and combinatorial optimization. By catalyzing diverse solution strategies through the competition, it establishes a practical benchmark for algorithmic performance in this emerging domain.

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📝 Abstract
We give an overview of the 2026 Computational Geometry Challenge targeting the problem of finding a Central Triangulation under Parallel Flip Operations in triangulations of point sets. A flip is the parallel exchange of a set of edges in a triangulation with opposing diagonals of the convex quadrilaterals containing them. The challenge objective was, given a set of triangulations of a fixed point set, to determine a central triangulation with respect to parallel flip distances. More precisely, this asks for a triangulation that minimizes the sum of flip distances to all elements of the input
Problem

Research questions and friction points this paper is trying to address.

Central Triangulation
Parallel Flip Operations
Triangulations
Flip Distance
Point Sets
Innovation

Methods, ideas, or system contributions that make the work stand out.

parallel flip
central triangulation
triangulation distance
computational geometry
CG:SHOP challenge
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