Numerical Nonlinear Steepest Descent
The effective computation of the inverse scattering transform, orthogonal polynomials with exponential weights, the Painlevé transcendents and other nonlinear special functions is accomplished by combining the Deift and Zhou method of nonlinear steepest descent with a method for the numerical solution of Riemann-Hilbert problems. Under mild assumptions on the numerical method, this combination produces an appoximation that is uniformly and spectrally convergent over large parameter ranges. Below we plot a solution of the Korteweg-de Vries (KdV) equation while simultaneously displaying the contours of the Riemann--Hilbert problem that is being solved to compute the value of the solution q at each point.
My interests include integrable systems, Riemann-Hilbert problems, the analysis of boundary-value problems and collocation methods. The bulk of my PhD research has centered around numerical nonlinear steepest descent --- the implementation of the Deift and Zhou method of nonlinear steepest descent numerically. I have also worked on stability problems in laser physics, contributed to the development of the 

