title: A universal symmetry detection algorithm.
abstract: Research on symmetry detection focuses on identifying and detecting new types of symmetry. The paper presents an algorithm that is capable of detecting any type of permutation-based symmetry, including many types for which there are no existing algorithms. General symmetry detection is library-based, but symmetries that can be parameterized, (i.e. total, partial, rotational, and dihedral symmetry), can be detected without using libraries. In many cases it is faster than existing techniques. Furthermore, it is simpler than most existing techniques, and can easily be incorporated into existing software. The algorithm can also be used with virtually any type of matrix-based symmetry, including conjugate symmetry.
authors: Department of Computer Science, Baylor University, Waco, TX 76798-7356 USA.
authors: Peter M
authors: PM
authors: Maurer
keywords: Generalized symmetry; Symmetric Boolean functions; Symmetry detection