Approximation Theory and Computational Harmonic Analysis

This workshop explores the interplay between the approximation of functions and computational harmonic analysis. It focuses on the mathematical foundations of cutting-edge algorithms in areas such as image and signal processing, numerical analysis, and data science.
This workshop intersects most directly with the Foundations of Data Science and Machine Learning, Information-Based Complexity, and Foundations of Numerical PDEs workshops.

Organizers

Simon Fraser University

Sorbonne Université

University of Vienna

Speakers

Semi-plenary speakers

University of Warwick

University California at Davis

Invited speakers

University of Genova

CUNEF University

Texas A.& M. University

RWTH Aache

University Ottawa

University of Vienna

KU Leuven

Texas A.& M. University

University of Oregon

Michigan State University

Princeton University

Concordia University

Georgia Institute Technology

University of Vienna

CNRS Besancon

University of California