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Seminar

Universality in Numerical Computation with Random Data. Case Studies October 04, 2021 (02:00 PM PDT - 04:30 PM PDT)
Parent Program:
Location: MSRI: Simons Auditorium, Online/Virtual
Speaker(s) Percy Deift (New York University, Courant Institute), Thomas Trogdon (University of Washington)
Description No Description
Video

Universality in Numerical Computation with Random Data Case Studies- Part 1

Universality in Numerical Computation with Random Data Case Studies- Part 2

Abstract/Media

To participate in this seminar, please register HERE.

Iterative algorithms with random data display universality in the sense that the number of iterations required to obtain a desired accuracy, is universal, independent of the ensemble for the random data. The speakers will describe many different examples of this phenomenon.

2:00 - 3:00 Percy Deift

3:00 - 3:30 Tea

3:30 - 4:30 Thomas Trogdon

This is joint work with T.Trogdon. G.Menon and S.Olver

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Universality in Numerical Computation with Random Data Case Studies- Part 1

Universality in Numerical Computation with Random Data Case Studies- Part 2