Talks
Listed here are presentations for which slides, posters or video are available. This is not a complete record of all presentations given by the numerical linear algebra group.

Online Distinguished Lecture, Department of Applied Mathematics, The Hong Kong Polytechnic University, September 2020: Nick Higham
Video .

Masked Guest Speaker, Extreme Computing Research Center, King Abdullah University of Science and Technology, 2020: Nick Higham
Slides.

VIDEO

e-NLA Online Seminar Series on Numerical Linear Algebra, April 29, 2020: Nick Higham
Slides.

VIDEO

SIAM Conference on Parallel Processing for Scientific Computing, 2020: Nick Higham
VIDEO

VIDEO

Distinguished Lecture Series, Department of Computer Science, University of British Columbia, 2019: Nick Higham
VIDEO

9th International Congress on Industrial and Applied Mathematics, Valencia, 2019: Nick Higham
Slides.

Advances in Numerical Linear Algebra: Celebrating the Centenary of the Birth of James H. Wilkinson, May 29-30, 2019
Slides.

VIDEO

Slides.

VIDEO

Slides.

VIDEO

Slides.

VIDEO

The Nonlinear Eigenvalue Problem: Recent Developments, PIMS Distinguished Lecture, University of Manitoba, 2019: Françoise Tisseur
Video .

Tricks and Tips in Numerical Computing, JuliaCon, London, 2018: Nick Higham
Compressing variable-coefficient exterior Helmholtz problems via RKFIT, ICERM, 2017: Stefan Güttel
The Rise of Multiprecision Computations, SAMSI, 2017: Nick Higham
Challenges in Multivalued Matrix Functions, North Carolina State University, 2017: Nick Higham
How and How Not to Compute the Exponential of a Matrix, NAG Technical Event, 2010: Nick Higham
Video

SIAM Gene Golub Summer School 2013, Functions of Matrices, Lecture 1: Nick Higham
VIDEO

SIAM Gene Golub Summer School 2013, Functions of Matrices, Lecture 2: Nick Higham
VIDEO

SIAM Gene Golub Summer School 2013, Functions of Matrices, Lecture 3: Nick Higham
VIDEO

SIAM Gene Golub Summer School 2013, Functions of Matrices, Lecture 4: Nick Higham
VIDEO

SIAM Gene Golub Summer School 2013, Functions of Matrices, Lecture 5: Nick Higham