The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Trading group theory for randomness
Abstract
In a previous paper [BS] we proved, using the elements of the theory of nilpotent groups, that some of the fundamental computational problems in matriz groups belong to NP. These problems were also shown to belong to coNP, assuming an unproven hypothesis concerning finite simple groups.
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Cites
Bennett, C. H., & Gill, J. (1981) · SIAM Journal on Computing · doi:10.1137/0210008 · Cited by 381
Cited by
Handbook of applied cryptography
(1997) · Choice Reviews Online · doi:10.5860/choice.34-4512 · Cited by 10,357
Gühne, O., & Tóth, G. (2009) · Physics Reports · doi:10.1016/j.physrep.2009.02.004 · Cited by 2,401
Self-testing/correcting with applications to numerical problems
Blum, M., Luby, M., & Rubinfeld, R. (1993) · Journal of Computer and System Sciences · doi:10.1016/0022-0000(93)90044-w · Cited by 712
Checking computations in polylogarithmic time
Babai, L., Fortnow, L., Levin, L. A., & Szegedy, M. (1991) · Proceedings of the twenty-third annual ACM symposium on Theory of computing - STOC '91 · doi:10.1145/103418.103428 · Cited by 616
Self-citationMicali, S. (2000) · SIAM Journal on Computing · doi:10.1137/s0097539795284959 · Cited by 424
Metadata
- Authors
- Babai, L.
- Venue
- Proceedings of the seventeenth annual ACM symposium on Theory of computing - STOC '85
- Publisher
- ACM Press
- Published
- 1985
- Pages
- 421-429
- OpenAlex
- W2096390054
- Cited by
- 772
- References
- 1
- FWCI
- 8.62
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Trading group theory for randomness. https://app.cochat.ai/papers/10.1145/22145.22192
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- Babai, L. (1985). Trading group theory for randomness. Proceedings of the seventeenth annual ACM symposium on Theory of computing - STOC '85. https://doi.org/10.1145/22145.22192
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
