Mathematics of Computation and Optimisation
Special Interest Group of the AustMS
MOCAO network online seminars: EOI
MOCAO continues running online seminar series. This may be a one-off research presentation or series of lectures on a topic of interest of MOCAO network community.
Contact person: Prof. Andrew Eberhard andy.eberhard@rmit.edu.au
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,
More details: 9th Workshop on High-Dimensional Approximation (HDA2023) | ANU Mathematical Sciences Institute
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!!!
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.
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.
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.
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/.
All videos (July, 11-15): MoCaO Lectures: Data Science are now available on
MoCaO Lectures: Data Science Page
We would like to thank all the presenters and participants for this wonderful and informative event.
Thank you!!!!!
Please note that the final lecture (July, 15, MoCaO Lectures) is scheduled at 12.30PM (AEST) and it is a 90 min block.
The first video (July, 11): MoCaO Lectures: Data Science is now available on
July 11-15, 2022
The MoCaO Lectures in Computation and Optimisation for 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and 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.
Speakers:
Prof. Stephen Wright: is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world-renowned expert in optimization and the author of several highly cited books in this field.
Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.
Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.
Dates:
The 11th , 12th and 13th of July 12noon-1pm: Speaker Prof Stephen Wright
The 14th July 12noon-1pm: Speaker Dr. Quoc Thong Le Gia
The 15th July 12.30pm-2pm: Prof. Guoyin Li
IMPORTANT: Website and Registration:
Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. If you did not receive a Zoom link or you have not yet registered, please contact Dr Quoc Thong Le Gia (qlegia@unsw.edu.au) .
Live talks are given by Regina Burachik (University of South Australia, Section 16 – Control Theory and Optimisation) and George Willis (University of Newcastle, Section 2 – Algebra).
The ICM Down Under will conclude with a twilight talk by SMRI Director Geordie Williamson on Friday evening (8 July 20:00 AEST). The talk will be recorded and broadcasted by the London Mathematical Society (virtual ICM public lecture, 8 July 12:00 BST).
For further information and registration, please visit: https://mathematical-research-institute.sydney.edu.au/news/icm2022-down-under/
July 11-15, 2022
The MoCaO Lectures in Computation and Optimisation for 2022 we are focusing on Data science and in particular machine learning, its algorithms, mathematical foundations and 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.
Speakers:
Prof. Stephen Wright: is the George B. Dantzig Professor of Computer Sciences at the University of Wisconsin-Madison. He is a past chair of the Mathematical Optimization Society and a SIAM Fellow. Currently he directs the Institute for Foundations of Data Science at the University of Wisconsin Madison. Steve is a world-renowned expert in optimization and the author of several highly cited books in this field.
Prof. Guoyin Li: is a professor in the School of Mathematics and Statistics at University of New South Wales. He was awarded an Australian Research Council Future Fellowship (for mid-career researchers) during 2014-2018. His research interests include optimisation, variational analysis, machine learning and tensor computations.
Dr. Quoc Thong Le Gia: is a Senior Lecturer in the School of Mathematics and Statistics, UNSW, Sydney. His research interests include Numerical Analysis, Approximation Theory; Partial Differential Equations; Machine Learning and Stochastic Processes.
Dates:
The 11th , 12th and 13th of July 12noon-1pm: Speaker Prof Stephen Wright
The 14th July 12noon-1pm: Speaker Dr. Quoc Thong Le Gia
The 15th July 12.30pm-2pm: Prof. Guoyin Li
IMPORTANT: Website and Registration:
Due to unforeseen problems with the registration system, all registrations up till until the date 29/06/2022 have been lost. We encourage those who have already registered to reregister using the new google form the bottom of the webpage (so you may receive the zoom details)
MoCaO Lectures: Data Science – Mathematics of Computation and Optimisation
We apologies for any inconvenience this issue may cause. 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.