University of Washington · Applied Mathematics

Applied Analysis Research Group

A research group at the University of Washington exploring the frontiers of mathematical analysis — from orthogonal polynomials to random matrix theory.

About the Group

The Applied Analysis Research Group (AARG) meets once a week to discuss developments in analysis from both an applied and theoretical perspective.

Discussions center around specific topics including orthogonal polynomials and spectral methods, Riemann–Hilbert problems, random matrix theory, and numerical linear algebra.

UW student may reach out if they are interested in attending.

Department Applied Mathematics, University of Washington
Meeting Frequency Once a week during the academic quarters
Topics of Study
  • Orthogonal Polynomials & Spectral Methods
  • Riemann–Hilbert Problems
  • Random Matrix Theory
  • Numerical Linear Algebra

Projects

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Computational Mathematics

Automatic Differentiation

An implementation of automatic differentiation, enabling exact derivative computation for complex mathematical functions.

Analysis & Quantum

RHP, NLFT & QSP

Exploring the deep connection between Riemann–Hilbert problems, nonlinear Fourier transforms, and quantum signal processing.

Research Interests

Numerical Methods

Riemann–Hilbert Problems

Developing numerical methods for solving Riemann–Hilbert problems arising in integrable systems and random matrix theory.

Spectral Theory

Random Matrix Theory

Studying eigenvalue distributions and universality phenomena in random matrix ensembles with connections to mathematical physics.

Classical Analysis

Orthogonal Polynomials

Exploring orthogonal polynomials and their spectral methods with applications to numerical computation and approximation theory.

Interested in Joining?

All are welcome to attend our weekly meetings. UW students may reach out to Professor Trogdon directly.

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