Travis Askham
Education
Ph.D.; New York University; ; 2016
B.S.; University of California-Los Angeles; ; 2010
M.A.; University of California-Los Angeles; ; 2010
B.S.; University of California-Los Angeles; ; 2010
M.A.; University of California-Los Angeles; ; 2010
Past Courses
MATH 337: LINEAR ALGEBRA
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
MATH 767: FAST NUMERICAL ALGORITHMS
MATH 707: ADVANCED APPLIED MATHEMATICS IV: SPECIAL TOPICS
MATH 767: FAST NUMERICAL ALGORITHMS
Journal Article
af Klinteberg, Ludvig, & Askham, Travis, & Kropinski, Mary (2020). A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations. Journal of Computational Physics, 409(109353), 33.
Askham, Travis, & Rachh, Manas (2020). A boundary integral equation approach to computing eigenvalues of the Stokes operator. Advances in Computational Mathematics, 46, 42.
Mangan, Niall, & Askham, Travis, & Brunton, Steven, & Kutz, Jose, & Proctor, Joshua (2019). Model selection for hybrid dynamical systems via sparse regression. Proceedings of the Royal Society, A, 475(2223), 22.
Askham, Travis, & Rachh, Manas (2020). A boundary integral equation approach to computing eigenvalues of the Stokes operator. Advances in Computational Mathematics, 46, 42.
Mangan, Niall, & Askham, Travis, & Brunton, Steven, & Kutz, Jose, & Proctor, Joshua (2019). Model selection for hybrid dynamical systems via sparse regression. Proceedings of the Royal Society, A, 475(2223), 22.