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Conference Paper: Results on communication complexity classes
Title | Results on communication complexity classes |
---|---|
Authors | |
Issue Date | 1989 |
Abstract | The authors consider deterministic, probabilistic, nondeterministic, and alternating complexity classes defined by polylogarithmic communication. They give a simple technique allowing translation of most known separation and containment results for complexity classes of the fixed-partition model to the more difficult optimal partition model, for which few results were previously known. They demonstrate that a certain natural language (block equality) in Σ2 cc is also, unexpectedly, in Π2 cc. |
Persistent Identifier | http://hdl.handle.net/10722/151788 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lam, Tak Wah | en_US |
dc.contributor.author | Ruzzo, Walter L | en_US |
dc.date.accessioned | 2012-06-26T06:29:32Z | - |
dc.date.available | 2012-06-26T06:29:32Z | - |
dc.date.issued | 1989 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/151788 | - |
dc.description.abstract | The authors consider deterministic, probabilistic, nondeterministic, and alternating complexity classes defined by polylogarithmic communication. They give a simple technique allowing translation of most known separation and containment results for complexity classes of the fixed-partition model to the more difficult optimal partition model, for which few results were previously known. They demonstrate that a certain natural language (block equality) in Σ2 cc is also, unexpectedly, in Π2 cc. | en_US |
dc.language | eng | en_US |
dc.title | Results on communication complexity classes | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Lam, Tak Wah:twlam@cs.hku.hk | en_US |
dc.identifier.authority | Lam, Tak Wah=rp00135 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0024920276 | en_US |
dc.identifier.scopusauthorid | Lam, Tak Wah=7202523165 | en_US |
dc.identifier.scopusauthorid | Ruzzo, Walter L=7003704899 | en_US |