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David Applegate

From Wikipedia, the free encyclopedia
David Applegate
Academic background
EducationUniversity of Dayton (BS)
Carnegie Mellon University (PhD)
Doctoral advisorRavindran Kannan
Academic work
DisciplineComputer science
Sub-disciplineConvex volume approximation
InstitutionsRice University
AT&T Labs
Google

David L. Applegate is an American computer scientist known for his research on the traveling salesperson problem.

Education

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Applegate graduated from the University of Dayton in 1984,[1] and completed his doctorate in 1991 from Carnegie Mellon University, with a dissertation on convex volume approximation supervised by Ravindran Kannan.[2]

Career

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Applegate worked on the faculty at Rice University and at AT&T Labs before joining Google in New York City in 2016.[1] His work on the Concorde TSP Solver, described in a 1998 paper, won the Beale–Orchard-Hays Prize of the Mathematical Optimization Society,[3][1][ICM] and his book The traveling salesman problem with the same authors won the Frederick W. Lanchester Prize in 2007.[4][TSP] He and Edith Cohen won the IEEE Communications Society's William R. Bennett Prize for a 2006 research paper on robust network routing.[5][ToN] Another of his papers, on arithmetic without carrying, won the 2013 George Pólya Award.[6][CMJ] In 2013, he was named an AT&T Fellow.[1]

With Guy Jacobsen and Daniel Sleator, Applegate was the first to computerize the analysis of the pencil-and-paper game, Sprouts.[7][8]

Selected publications

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CMU.
Applegate, David; Jacobson, Guy; Sleator, Daniel (1991), Computer analysis of Sprouts, Computer Science Tech. Report CMU-CS-91-144, Carnegie Mellon University[6][CMJ]
OJC.
Applegate, David; Cook, William (May 1991), "A computational study of the job-shop scheduling problem" (PDF), ORSA Journal on Computing, 3 (2): 149–156, doi:10.1287/ijoc.3.2.149
ICM.
Applegate, David; Bixby, Robert E.; Chvátal, Vašek; Cook, William J. (1998), "On the solution of traveling salesman problems", Proceedings of the International Congress of Mathematicians, Vol. III (Berlin, 1998) (PDF), Documenta Mathematica, pp. 645–656, MR 1648194
TSP.
Applegate, David L.; Bixby, Robert E.; Chvátal, Vašek; Cook, William J. (2006), The traveling salesman problem: A computational study, Princeton Series in Applied Mathematics, Princeton, NJ: Princeton University Press, ISBN 978-0-691-12993-8, MR 2286675[4][9]
ToN.
Applegate, David; Cohen, Edith (December 2006), "Making routing robust to changing traffic demands: Algorithms and evaluation", IEEE/ACM Transactions on Networking, 14 (6): 1193–1206, doi:10.1109/TNET.2006.886296, S2CID 27498169[5]
CMJ.
Applegate, David; LeBrun, Marc; Sloane, N. J. A. (2012), "Carryless arithmetic mod 10", The College Mathematics Journal, 43 (1): 43–50, arXiv:1008.4633, doi:10.4169/college.math.j.43.1.043, MR 2875555, S2CID 10952221[6]

References

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  1. ^ a b c d "David Applegate", Research at Google, retrieved 2017-08-03
  2. ^ David Applegate at the Mathematics Genealogy Project
  3. ^ Past Winners of the Beale — Orchard-Hays Prize, Mathematical Optimization Society, retrieved 2017-08-03.
  4. ^ a b "David L. Applegate", Recognizing Excellence: Award Recipients, Institute for Operations Research and the Management Sciences, retrieved 2017-08-03
  5. ^ a b The IEEE Communications Society William R. Bennett Prize, retrieved 2017-08-03
  6. ^ a b c Applegate, David; Lebrun, Marc; Sloane, N. J. A. (2010), "Carryless Arithmetic Mod 10", George Pólya Awards, Mathematical Association of America, arXiv:1008.4633, retrieved 2017-08-03
  7. ^ Gardner, Martin (2001), The Colossal Book of Mathematics: Classic Puzzles, Paradoxes, and Problems : Number Theory, Algebra, Geometry, Probability, Topology, Game Theory, Infinity, and Other Topics of Recreational Mathematics, W. W. Norton & Company, p. 491, ISBN 9780393020236
  8. ^ Peterson, Ivars (2002), Mathematical Treks: From Surreal Numbers to Magic Circles, MAA Spectrum, Mathematical Association of America, p. 71, ISBN 9780883855379
  9. ^ Lenstra, Jan Karel; Shmoys, David (2009), "The traveling salesman problem: a computational study", SIAM Review, 51 (4): 799–801, MR 2573947
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