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dc.contributor.authorWang, Yuyang
dc.contributor.authorEdelman, Alan
dc.contributor.authorSutton, Brian David
dc.date.accessioned2018-05-30T17:52:04Z
dc.date.available2018-05-30T17:52:04Z
dc.date.issued2013-01
dc.identifier.isbn9780821894712
dc.identifier.urihttp://hdl.handle.net/1721.1/115982
dc.description.abstractThis paper serves to prove the thesis that a computational trick can open entirely new approaches to theory. We illustrate this by describ- ing such random matrix techniques as the stochastic operator approach, the method of ghosts and shadows, and the method of “Riccatti Diffusion/Sturm Sequences.” We thereby provide new insights into the deeper mathematics underlying random matrix theory.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1090/psapm/072/00614en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Mathematical Societyen_US
dc.titleRandom matrix theory, numerical computation and applicationsen_US
dc.typeArticleen_US
dc.identifier.citationEdelman, Alan, Brian Sutton, and Yuyang Wang. “Random Matrix Theory, Numerical Computation and Applications.” Proceedings of Symposia in Applied Mathematics (July 7, 2014): 53–82.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.mitauthorEdelman, Alan
dc.contributor.mitauthorSutton, Brian David
dc.relation.journalModern Aspects of Random Matrix Theoryen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-05-21T12:11:37Z
dspace.orderedauthorsEdelman, Alan; Sutton, Brian; Wang, Yuyangen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7676-3133
mit.licensePUBLISHER_POLICYen_US


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