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词条 Valerie King
释义

  1. References

  2. External links

{{other uses}}Valerie King is an American and Canadian computer scientist who works as a professor at the University of Victoria.[1] Her research concerns the design and analysis of algorithms; her work has included results on maximum flow and dynamic graph algorithms, and played a role in the expected linear time MST algorithm of Karger et al.[2]

King graduated from Princeton University in 1977. She earned a law degree (Juris Doctor) from the University of California, Berkeley in 1983, and became a member of the State Bar of California, but returned to Berkeley and earned a Ph.D. in computer science in 1988 under the supervision of Richard Karp with a dissertation concerning the Aanderaa–Karp–Rosenberg conjecture.[1][3]

She became a Fellow of the Association for Computing Machinery in 2014.[4]

References

1. ^Curriculum vitae, retrieved 2015-01-08.
2. ^{{citation | last1 = Karger | first1 = David R. | last2 = Klein | first2 = Philip N. | last3 = Tarjan | first3 = Robert E. | doi = 10.1145/201019.201022 | issue = 2 | journal = Journal of the ACM | pages = 321–328 | title = A randomized linear-time algorithm to find minimum spanning trees | volume = 42 | year = 1995}}
3. ^{{mathgenealogy|id=72009}}
4. ^ACM Names Fellows for Innovations in Computing {{Webarchive|url=https://web.archive.org/web/20150109095116/http://awards.acm.org/press_releases/fellows-2014b.pdf |date=2015-01-09 }}, ACM, January 8, 2015, retrieved 2015-01-08.

External links

  • Home page
  • [https://scholar.google.com/citations?user=2-iEYMUAAAAJ Google scholar profile]
{{Authority_Control}}{{Compu-scientist-stub}}{{DEFAULTSORT:King, Valerie}}

10 : Year of birth missing (living people)|Living people|American computer scientists|Canadian computer scientists|Canadian women computer scientists|Theoretical computer scientists|Princeton University alumni|University of California, Berkeley School of Law alumni|University of Victoria faculty|Fellows of the Association for Computing Machinery

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