Biography:Michael Gage (mathematician)
Michael Eaton Gage is a mathematician who works as a professor of mathematics at the University of Rochester. He is known for his work on the curve-shortening flow, and in particular for the Gage–Hamilton–Grayson theorem, proved by Gage with Richard S. Hamilton and Matthew Grayson, which describes the behavior of any smooth Jordan curve under the curve-shortening flow.[1][2][3] He is also one of the original developers of the WeBWorK online homework delivery system.[4]
Gage did his undergraduate studies at Antioch College,[5] and completed his Ph.D. in mathematics at Stanford University in 1978, under the supervision of Robert Osserman.[6] He has worked as a systems programmer for Intel,[7] and joined the Rochester faculty in 1984.[5]
Gage was the 1996–1997 winner of the distinguished teaching award of the Seaway Section of the Mathematical Association of America.[5]
References
- ↑ Chou, Kai-Seng; Zhu, Xi-Ping (2001), The Curve Shortening Problem, Boca Raton, Florida: Chapman & Hall/CRC, p. vii, doi:10.1201/9781420035704, ISBN 978-1-58488-213-8.
- ↑ Cao, Frédéric (2003), Geometric Curve Evolution and Image Processing, Lecture Notes in Mathematics, 1805, Berlin: Springer-Verlag, p. 47, doi:10.1007/b10404, ISBN 978-3-540-00402-8, https://archive.org/details/geometriccurveev0000caof/page/47.
- ↑ Discrete and Computational Geometry, Princeton University Press, Princeton, New Jersey, 2011, p. 141, ISBN 978-0-691-14553-2.
- ↑ Sangwin, Chris (2013), Computer Aided Assessment of Mathematics, Oxford University Press, p. 153, ISBN 9780191635854, https://books.google.com/books?id=NkFoAgAAQBAJ&pg=PA153.
- ↑ 5.0 5.1 5.2 "1996-1997 Seaway Section Distinguished Teaching Award: Dr. Michael Gage", Seaway Section of the MAA: Distinguished Teaching Awards, http://people.rit.edu/maacway/Awards/disting97.html, retrieved 2015-11-16.
- ↑ Michael Gage at the Mathematics Genealogy Project
- ↑ Ewing, John (1999), Towards Excellence: Leading a Doctoral Mathematics Department in the 21st Century, American Mathematical Society Task Force on Excellence, p. 148, ISBN 9780821820339.
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