Thomas Trogdon

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Bernard DeconinckUniversity of WashingtonVerified email at uw.edu
Sheehan OlverImperial CollegeVerified email at imperial.ac.uk
percy deiftnyuVerified email at cims.nyu.edu
Vishal VasanInternational Centre for Theoretical Sciences, Tata Institute of Fundamental ResearchVerified email at icts.res.in
Deniz BilmanUniversity of CincinnatiVerified email at uc.edu
Gino BiondiniState University of New York at Buffalo, Department of MathematicsVerified email at buffalo.edu
Tyler ChenNew York UniversityVerified email at nyu.edu
P EmplitProfesseur de physique appliquée, Université libre de BruxellesVerified email at ulb.ac.be
Simon-Pierre GorzaUniversité libre de BruxellesVerified email at ulb.ac.be
Marc HaeltermanUniversité Libre de BruxellesVerified email at ulb.ac.be
Levent SagunFacebook AI ResearchVerified email at fb.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Alex TownsendCornell UniversityVerified email at cornell.edu
Shashanka UbaruIBM ResearchVerified email at umn.edu
Aukosh JagannathUniversity of WaterlooVerified email at uwaterloo.ca
Raj Rao NadakuditiAssociate Professor, University of MichiganVerified email at umich.edu
Xiucai DingAssistant Professor of Statistics, UC DavisVerified email at ucdavis.edu
Elliot PaquetteAssociate Professor of Mathematics, McGill UniversityVerified email at mcgill.ca
Yiting ZhangUniversity of WashingtonVerified email at uw.edu
Pierre GermainChair in Analysis and PDEs, Imperial College, LondonVerified email at ic.ac.uk

Thomas Trogdon

University of Washington

Verified email at uw.edu - Homepage

Numerical Analysis Complex Analysis Random Matrix Theory Inverse Scattering


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Riemann-Hilbert Problems, Their Numerical Solution and the Computation of Nonlinear Special Functions T Trogdon, S Olver SIAM, 2016	126*	2016
The method of Fokas for solving linear partial differential equations B DECONINCK, TOM TROGDON, V VASAN SIAM Review, 1-24, 2012	114	2012
Numerical inverse scattering for the Korteweg–de Vries and modified Korteweg–de Vries equations T Trogdon, S Olver, B Deconinck Physica D: Nonlinear Phenomena 241 (11), 1003-1025, 2012	62	2012
Fast computation of Gauss quadrature nodes and weights on the whole real line A Townsend, T Trogdon, S Olver IMA Journal of Numerical Analysis 36 (1), 337-358, 2016	49	2016
Numerical inverse scattering for the focusing and defocusing nonlinear Schrödinger equations T Trogdon, S Olver Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2013	47	2013
Nonlinear steepest descent and numerical solution of Riemann‐Hilbert problems S Olver, T Trogdon Communications on Pure and Applied Mathematics 67 (8), 1353-1389, 2014	39	2014
Universality in numerical computations with random data PA Deift, G Menon, S Olver, T Trogdon Proceedings of the National Academy of Sciences 111 (42), 14973-14978, 2014	37	2014
Numerical computation of the finite-genus solutions of the Korteweg–de Vries equation via Riemann–Hilbert problems T Trogdon, B Deconinck Applied Mathematics Letters 26 (1), 5-9, 2013	30	2013
On the condition number of the critically-scaled Laguerre unitary ensemble PA Deift, T Trogdon, G Menon Discrete and Continuous Dynamical Systems 36 (8), 4287-4347, 2016	21	2016
The solution of linear constant-coefficient evolution PDEs with periodic boundary conditions T Trogdon, B Deconinck Applicable Analysis 91 (3), 529-544, 2012	21	2012
Experimental demonstration of the oscillatory snake instability of the bright soliton of the (2+ 1) D hyperbolic nonlinear Schrödinger equation SP Gorza, B Deconinck, P Emplit, T Trogdon, M Haelterman Physical review letters 106 (9), 094101, 2011	21	2011
Universality for the Toda algorithm to compute the largest eigenvalue of a random matrix P Deift, T Trogdon Communications on Pure and Applied Mathematics 71 (3), 505-536, 2018	20	2018
Gibbs phenomenon for dispersive PDEs on the line G Biondini, T Trogdon SIAM Journal on Applied Mathematics 77 (3), 813-837, 2017	20*	2017
Riemann-Hilbert problems, their numerical solution and the computation of nonlinear special functions TD Trogdon	20	2013
Numerical solution of Riemann–Hilbert problems: random matrix theory and orthogonal polynomials S Olver, T Trogdon Constructive Approximation 39, 101-149, 2014	19	2014
A Riemann–Hilbert problem for the finite-genus solutions of the KdV equation and its numerical solution T Trogdon, B Deconinck Physica D: Nonlinear Phenomena 251, 1-18, 2013	19	2013
Random matrices and the New York City subway system A Jagannath, T Trogdon Physical Review E 96 (3), 030101, 2017	16	2017
Universality for eigenvalue algorithms on sample covariance matrices P Deift, T Trogdon SIAM Journal on Numerical Analysis 55 (6), 2835-2862, 2017	16	2017
Sampling unitary ensembles S Olver, RR Nadakuditi, T Trogdon Random Matrices: Theory and Applications 4 (01), 1550002, 2015	14	2015
A numerical dressing method for the nonlinear superposition of solutions of the KdV equation T Trogdon, B Deconinck Nonlinearity 27 (1), 67, 2013	14	2013

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