Information Measures in Detecting and Recognizing Symmetries
| dc.creator | Popel, Denis V. | |
| dc.date | 2002-07-05 | |
| dc.date.accessioned | 2026-07-07T08:36:04Z | |
| dc.date.available | 2026-07-07T08:36:04Z | |
| dc.description | This paper presents a method to detect and recognize symmetries in Boolean functions. The idea is to use information theoretic measures of Boolean functions to detect sub-space of possible symmetric variables. Coupled with the new techniques of efficient estimations of information measures on Binary Decision Diagrams (BDDs) we obtain promised results in symmetries detection for large-scale functions. | |
| dc.description | 4 pages, 2 figures, 2 tables, MWSCAS'01 | |
| dc.identifier | https://arxiv.org/abs/cs/0207019 | |
| dc.identifier | http://arxiv.org/abs/cs/0207019 | |
| dc.identifier | MWSCAS 2002 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/139945 | |
| dc.subject | Other Computer Science | |
| dc.subject | B.6.3 | |
| dc.title | Information Measures in Detecting and Recognizing Symmetries | |
| dc.type | text |