2022: Continuous Optimization

The 22nd edition of the Geilo Winter School will take place in Geilo, Norway, from Sunday January 23 to Friday January 28, 2022. The topic of the school will be continuous optimization.

Photo: Shutterstock

Abstract

Continuous optimization is the study of maximizing functions of continuous variables. Such problems are generally intractable without additional conditions and constraints, but for many specific cases, theoretical research has led to the development of very useful algorithms for practical applications. Today, such algorithms constitute the workhorse in a diverse range of applications spanning from robotics over machine learning to economics. Recent successes in the field include progress in compressed sensing and advances in large-scale optimization.

The 2022 Geilo winter school features an exciting weeklong program with introduction to continuous optimization and deep dives into various applications including shape optimization, optimization of physical systems constrained by partial differential equations, and relations between machine learning and optimization. The goal of the school is not only to teach the basics of the field, but also to provide practical understanding of how and when continuous optimization might be applied.

Program

Details to be announced.

Schedule

You can subscribe to the above calendar by using this link. The exact lecture times should be understood to be tentative still, but the final schedule will in any case be adapted to the indicated trains.

Lecturers

Anton Evgrafov

Anton Evgrafov graduated with a PhD in Applied Mathematics from Chalmers University of Technology in 2004. He has held several research and faculty positions in Denmark, Norway, and the US, and is currently an associate professor at Aalborg University. His research interests include analysis and numerical methods for control in the coefficients/topology optimization problems, especially for systems governed with nonlocal equations.

Stein Krogstad

Dr. Stein Krogstad is a senior research scientist at SINTEF Applied Mathematics and Cybernetics. He holds a PhD on structure preserving numerical methods for ODEs but has for the last 15 years in SINTEF mostly been involved in research projects related to numerical simulation of flow in porous media. This includes discretization schemes, development of fully implicit solvers, reduced order modelling, upscaling and multiscale methods. Current research activities largely evolve around model-based optimization of subsurface flow problems by the use of adjoints, model reduction and proxies. He has been an active developer of the Matlab Reservoir Simulation Toolbox (MRST) since its first release in 2009.

Julien Mairal

Julien Mairal is a research scientist at Inria Grenoble, where he leads the Thoth research team. He joined Inria Grenoble in 2012, after a post-doc in the statistics department of UC Berkeley. He received the Ph.D. degree from Ecole Normale Superieure, Cachan. His research interests include machine learning, computer vision, mathematical optimization, and statistical image and signal processing. In 2016, he received a Starting Grant from the European Research Council. He was awarded the Cor Baayen prize in 2013, the IEEE PAMI young researcher award in 2017 and the test-of-time award at ICML 2019.

Alberto Paganini

Dr. Alberto Paganini is a Lecturer in Applied Mathematics at the University of Leicester and a Royal Society Short Industry Fellow. Dr. Paganini obtained a PhD in Mathematics at ETHZ in 2016 and, before joining the University Leicester, worked as a postdoc and a lecturer at the University of Oxford and at Pembroke College.

Dr. Paganini's research interests revolve around PDE-constrained optimization, with a particular emphasis on the development of automated solutions that are inherently compatible with standard finite element methods. Dr Paganini also leads the development of the open-source shape optimization toolbox Fireshape.

Important Information

See the About page for general information about the winter school.

Registering for the winter school

You can register here. If you are on the mailing list you will be notified at the same time as the registration opens.

Cost of participating

There is no registration fee for the winter school, but participants must cover their own travel costs and hotel costs at Dr. Holms. The hotel costs amount to:

  • 1 650,- NOK per night in a single room.
  • 1 150,- NOK per night in a double room (You can indicate a person you wish to share with, or let us match you with another person of the same gender).

Available spots

The winter school has a limited number of rooms at Dr. Holms which will be reserved on a first come first served basis. We have in the previous years exceeded our capacity, so please register as early as possible!

Posters

We welcome all posters to be presented, and will make space in the program for a poster session in which participants can present their work to colleagues and others. The aim of the session is to make new contacts and share your research, and it is an informal event. You need to indicate in your registration if you want to present a poster during the poster session. 

Organizing Committee

 

The organizing committee for the Geilo Winter School consists of

  • Torkel Andreas Haufmann, Research Scientist (Department of Mathematics and Cybernetics, SINTEF). 
  • Øystein Klemetsdal, Research Scientist (Department of Mathematics and Cybernetics, SINTEF).
  • Signe Riemer-Sørensen, Research Scientist (Department of Mathematics and Cybernetics, SINTEF).

To get in touch with the committee, send an email .