Frustration - how it can be measured
S. Kobe, T. Klotz

TL;DR
This paper introduces a misfit parameter to quantify frustration in physical and combinatorial systems, enabling comparison across models and extending to various optimization problems.
Contribution
It proposes a new measure for frustration, applicable to different models and problems, facilitating comparative analysis and broader application.
Findings
Misfit parameter effectively characterizes frustration in spin-glass models.
Allows comparison of different frustrated systems.
Extension to other combinatorial optimization problems demonstrated.
Abstract
A misfit parameter is used to characterize the degree of frustration of ordered and disordered systems. It measures the increase of the ground-state energy due to frustration in comparison with that of a relevant reference state. The misfit parameter is calculated for various spin-glass models. It allows one to compare these models with each other. The extension of this concept to other combinatorial optimization problems with frustration, e.g. p-state Potts glasses, graph-partitioning problems and coloring problems is given.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
