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Jeff Edmonds

From Wikipedia, the free encyclopedia
Jeff Edmonds
BornAugust 10, 1963 (1963-08-10) (age 62)
Alma materUniversity of Toronto
Scientific career
FieldsMathematics
Computer Science
InstitutionsYork University
Faith Ellen

Jeff Edmonds is a Canadian and American mathematician and computer scientist specializing in computational complexity theory.

Academic career

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Edmonds received his Bachelors at Waterloo in 1987 and his Ph.D. in 1993 at University of Toronto. His thesis proved lower bounds on time-space tradeoffs. He did his post-doctorate work at the ICSI in Berkeley on secure data transmission over networks for multi-media applications. He joined Department of EECS at Lassonde School of Engineering York University in 1995.[1][2]

Research

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Edmonds' research interests include complexity theory, scheduling, proof systems, probability theory, combinatorics and machine learning.

Personal life

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Edmonds is the son of another mathematician, Jack Edmonds.

See also

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Selected publications

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  • Edmonds, Jeff (2024), How to Think About Algorithms (2nd ed.), Cambridge University Press, doi:10.1017/9781009302180
  • Leung, Chan; Edmonds, Jeff; Pruhs, Kirk (2011), "Speed Scaling of Processes with Arbitrary Speedup Curves on a Multiprocessor", Theory of Computing Systems, 49 (4): 817–833, doi:10.1007/s00224-011-9349-0.
  • Edmonds, Jeff; Sidiropoulos, Anastasios; Zouzias, Anastasios (2010), "Inapproximability for Planar Embedding Problems", Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 222–235, doi:10.1137/1.9781611973075.20, ISBN 978-0-89871-701-3.
  • Edmonds, Jeff; Poon, Chung Keung; Achlioptas, Dimitris (1999), "Tight Lower Bounds for st-Connectivity on the NNJAG Model", SIAM Journal on Computing, 28 (6): 2257–2284, doi:10.1137/S0097539795295948.

References

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