WOMBAT/WICO 2023 (joint Optimisation and Computational Mathematics Workshops)

This year, the regular workshops WOMBAT (annual Workshop on Optimisation, Metric Bounds, Approximation and Transversality) and WICO (biennial Workshop on the Intersections of Computation and Optimisation) will be combined. The joint workshop, covering areas of optimisation and computational mathematics, will be held from 11-15 December 2023 at the University of Sydney. The event will be entirely in-person.

Plenary speakers:

  • Andreas Ernst (Monash University)
  • Fatma Kılınç-Karzan (Carnegie Mellon University)
  • Andrea Raith (University of Auckland)
  • Ricardo Ruiz-Baier (Monash University)
  • Georg Stadler (New York University)

Registration is free to all participants and open until 31 October. Some travel support for students is available.

For more details (including the registration form), see the event website: https://wombat.mocao.org/

On behalf of the organising committee:

Mareike Dressler, Nam Ho-Nguyen, Quoc Le Gia, Dmytro Matsypura, Lindon Roberts

WOMBAT/WICO 2023 (joint Optimisation and Computational Mathematics Workshops)

This year, the regular workshops WOMBAT (annual Workshop on Optimisation, Metric Bounds, Approximation and Transversality) and WICO (biennial Workshop on the Intersections of Computation and Optimisation) will be combined. The joint workshop, covering areas of optimisation and computational mathematics, will be held from 11-15 December 2023 at the University of Sydney. The event will be entirely in-person.

Plenary speakers:

  • Andreas Ernst (Monash University)
  • Fatma Kılınç-Karzan (Carnegie Mellon University)
  • Andrea Raith (University of Auckland)
  • Ricardo Ruiz-Baier (Monash University)
  • Georg Stadler (New York University)

Registration is free to all participants and open until 31 October. Some travel support for students is available.

For more details (including the registration form), see the event website: https://wombat.mocao.org/

On behalf of the organising committee:

Mareike Dressler, Nam Ho-Nguyen, Quoc Le Gia, Dmytro Matsypura, Lindon Roberts

MoCaO Lectures: 2023: Polynomial optimisation – First Announcement

 July 3-7, 2023, 5-6pm AEST (GMT+10) each day

This series of lectures will introduce polynomial optimisation and decision problems, what they can model, how they can be attacked using tools from convex optimisation. The lectures will be illustrated, throughout, with a range of concrete applications. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as phd students, postdoc and/or inquisitive academics who wish to have a better understanding of recent advances in this dynamic field. These lectures will be given online via Zoom. Please read the notice below regarding the registration.

Summary: Optimisation and decision problems where the objective function and the constraints can be formulated using multivariate polynomials can model a very wide range of problems from areas as diverse as dynamical systems and control, probability and statistics, quantum information, and combinatorial optimisation. Such problems, while very expressive, are generally difficult to solve. Despite this, systematic and powerful methods based on tools from convex optimisation and convex geometry have been developed to globally approximate these challenging problems.  
MoCaO Lectures 2023:
James Saunderson (Monash University, ARC Discovery Early Career Research Fellow)
Georgina Hall (INSEAD)
Mareike Dressler (UNSW, Sydney)

Biographies:
James Saunderson (MoCaO lecturer 2023) is a Lecturer and ARC DECRA fellow in the Department of Electrical and Computer Systems Engineering at Monash University. He received a PhD in Electrical Engineering and Computer Science from MIT in 2015, and held postdoctoral positions at Caltech and the University of Washington before joining Monash. In 2020 he was the recipient (with Hamza Fawzi and Pablo Parrilo) of the SIAM activity group on optimization best paper prize in 2020.

Georgina Hall is an Assistant Professor at INSEAD in the Decision Sciences area. She received a PhD in Operations Research and Financial Engineering at Princeton University in 2018, where she was also a Gordon Y. S. Wu fellow. Before joining INSEAD, she held a postdoctoral position in the DYOGENE team at INRIA. Georgina was the recipient of the 2016 INFORMS Computing Society Best Student Paper Award, the 2018 INFORMS Optimization Society Young Researchers’ Prize, and the 2020 Information Theory Society Paper Award.

Mareike Dressler is a Lecturer in the School of Mathematics and Statistics at the University of New South Wales (UNSW Sydney). She received a PhD at the Goethe-Universität in Frankfurt am Main in 2018. Before joining UNSW she held postdoctoral positions at Brown University in the Institute for Computational and Experimental Research in Mathematics (ICERM), at the University of California, San Diego (UCSD), and at the Max Planck Institute for Mathematics in the Sciences (MPI MiS) in Leipzig. In 2023, Mareike was awarded a Simons Visiting Professorship by the Simons Foundation.

We encourage participants to register using the google form the bottom of the webpage (so you may receive the zoom details)

If you have any enquiries, please send an email to MoCaO@austms.org.au. Please check the website prior to the lectures for last minute information or announcements.

Registration via GoogleForms.

Alternatively, you can copy and paste the URL: https://forms.gle/hdUTzcBZqTuoVHLUA

9TH WORKSHOP ON HIGH-DIMENSIONAL APPROXIMATION (HDA2023)

The High-Dimensional Approximation (HDA) Workshop is a series of biennial international meetings covering current research on high-dimensional problems. This ninth workshop (HDA2023) will be held at ANU in Canberra.

HDA2023 will cover a range of topics central to modern high-dimensional approximation and their applications. Topics include, but are not limited to,

  • Nonlinear approximation
  • Numerical integration
  • Tensor decomposition
  • Sparsity-exploiting approximation
  • Sparse grid methods
  • Quasi-Monte Carlo methods
  • Polynomial chaos expansions
  • Discrepancy and dispersion theory
  • Dimensionality reduction
  • Uncertainty quantification
  • Reduced modelling
  • Inverse problems

More details: 9th Workshop on High-Dimensional Approximation (HDA2023) | ANU Mathematical Sciences Institute

Workshop on Optimisation Topics in Australia: WOTA@Waterfront 2022: Registration is now open

You are invited to attend WOTA@Waterfront 2022

Dates: 12-13 October 2022.

Place: Deakin University, Waterfront Campus, 1 Gheringhap St, Geelong VIC 3220.

Organisers:

Julien Ugon (Deakin University)

Nadezda Sukhorukova (Swinburne University)

Reinier Diaz Millan (Deakin University) (Local)

Vinesha Peiris (Deakin University)

Workshop details and Registration click here

We are looking forward to seeing to soon!!!

Optimisation talks at UNSW: Vinesha Peiris and Didier Aussel

August is a busy month for UNSW’s optimisation group: there will be three talks given by visitors at the School of Mathematics and Statistics.

11 August 2022: Dr Vinesha Peiris (Deakin University), Rational Approximation in EEG signal classification

Speaker: Vinesha Peiris (Deakin University)
Date: 11/08/22, 11am
Rational approximation and its application in EEG signal classification

Rational approximation (that is, approximation by a ratio of two polynomials) is a flexible alternative to polynomial approximation. In particular, rational functions exhibit accurate estimations to nonsmooth and non-Lipschitz functions, where polynomial approximations are not efficient. In this talk, we discuss the quasiconvexity property of the optimisation problems appearing in univariate rational Chebyshev approximation and its generalisation to a ratio of linear combinations of basis functions. This fact can be used in the development of computational methods. Then we apply our approximation as a preprocessing step to classify EEG signals and demonstrate that the classification accuracy is significantly improved compared to the classification of the raw signals.

This is a hybrid talk, delivered in-person in RC-4082 and online on Zoom with the following link and passcode.

Link: https://unsw.zoom.us/j/81997494743?pwd=ekZ0SlJoZ2hqWFNGMVdxR3psZFVadz09
Passcode: 704577

The talk is part of the Applied Mathematics Seminar Series at the School of Mathematics and Statistics, UNSW Sydney. We are grateful to the seminar coordinator Dr Michael Watson for organising this event.

19 August 2022: Prof. Didier Aussel (University of Perpignan), Recent advances bilevel optimization with several players: multi-leader-follower games.

Speaker: Didier Aussel (University of Perpignan)
Date: Friday 19 August 2022, 11am AEST (Sydney time)
Title: Recent Advances in Bilevel Optimization with Several Players: Multi-Leader-Follower Games

Multi-Leader-Follower games are perfect mathematical tools for the modelling of agents interactions on a market in which some of the agents have some leading position while a set of the other agents are competing in a non cooperative way. These models are known for decades but recent advances opened the door to new developments and applications. Motivated by applications in energy management the aim of this seminar will be to consider modern approaches of well-posedness, first order reformulation and existence results for Multi-Leader-Follower games.

This is a hybrid talk, delivered in-person in RC-4082 and online on Zoom with the following link and passcode.

Zoom Link: https://unsw.zoom.us/j/89935594957?pwd=TzExZUNKci9raDVzdWZSa2RMckhydz09
Passcode: 843637

The talk is part of the Applied Mathematics Seminar Series at the School of Mathematics and Statistics, UNSW Sydney. We are grateful to the seminar coordinator Dr Michael Watson for organising this event.

24 August 2022: Prof. Didier Aussel (University of Perpignan), Quasiconvex nonsmooth optimization through the normal approach

Speaker: Didier Aussel (University of Perpignan)
Date: Wednesday 24 August 2022, 11am AEST (Sydney time)
Title: Quasiconvex nonsmooth optimization through the normal approach

Location: Hybrid in RC-4082 and via zoom. Please contact Hongzhi Liao (hongzhi.liao@unsw.edu.au) for the zoom link.

The talk is part of the Convex Geometry Reading Group Series at UNSW Sydney. More info: https://www.mocao.org/cg/.

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