2024 Gene Golub SIAM Summer School

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2024 Gene Golub SIAM Summer School

Iterative and Randomized Methods for Large-Scale Inverse Problems

Our Summer School will enable students to learn state-of-the-art mathematical and statistical tools to discover information hidden within large-scale data sets and solve complex inverse problems. Through hands-on experience with techniques from Randomized Numerical Linear Algebra, data assimilation, iterative algorithms, and inverse problems we will offer students a two-week summer school to learn this valuable range of computational mathematics topics.

We look forward to welcoming you to the 2024 Gene Golub SIAM Summer School from 22 July to 2 August 2024. Here is our flyer.

Location: Campus of the Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito, Ecuador.
Dates: 22 July - 2 Aug, 2024
Organizers: Matthias Chung, Juan Carlos de los Reyes, Petros Drineas, Rosemary Renaut, Alex Townsend.

Lecturers

Important dates

March 1, 2024: Application deadline for summer school

March 7, 2024: Extended application deadline for summer schools>

22 July - 2 August 2024: Summer school dates

31 July 2024: Banquet

Travel support

Acceptance of your application to the summer school will include full travel support. We will provide an invitation letter for the accepted applicants who require a visa.

Summer school banquet

The summer school banquet will take place at El Ventanal restaurant. Located in Quito’s downtown.

Locations

The Summer School will take place at Escuela Politécnica Nacional in Quito, Ecuador.

G2S3 classroom: Electric Engineering Building (Building 16)

Accommodation

All the participants will be staying at the Fenix Hotel in Quito.

Getting to Quito, Ecuador

To travel to Quito, Ecuador, you would typically fly into Mariscal Sucre International Airport (IATA code: UIO).

Contact

For information, contact Matthias Chung, Juan Carlos de los Reyes, Petros Drineas, Rosemary Renaut, Alex Townsend.

Sponsorship

The summer school has been generously sponsored by:


SIAM